Abstract: An image processing apparatus includes a memory and a processor coupled to the memory and the processor configured to obtain an image in which a subject is captured, calculate a modified luminance value of a first pixel included in the image by using a luminance value of the first pixel, luminance values of a plurality of pixels located in a surrounding region of the first pixel, and information indicating illumination intensity at each of the plurality of pixels; and correct the image in accordance with the modified luminance value of the first pixel.

Abstract: A multispectral sensing device is disclosed. The sensing device may comprise an array of pixel units. Each of the pixel units may comprise four pixels in a two by two configuration. Each of the pixels may comprise a plurality of sub-pixels. Each of the pixel units may include at least one pixel that includes at least two sub-pixels configured to detect light of different wavelengths.

Abstract: An image recovery apparatus and method are provided, where the image recovery apparatus calculates a reference color image based on a linear correlation between a color channel image and a luminance channel image, and corrects the luminance channel image based on residual information that indicates a difference between the reference color image and the color channel image, to recover an image.

Abstract: A method of signaling additional chroma QP offset values that are specific to quantization groups is provided, in which each quantization group explicitly specifies its own set of chroma QP offset values. Alternatively, a table of possible sets of chroma QP offset values is specified in the header area of the picture, and each quantization group uses an index to select an entry from the table for determining its own set of chroma QP offset values. The quantization group specific chroma QP offset values are then used to determine the chroma QP values for blocks within the quantization group in addition to chroma QP offset values already specified for higher levels of the video coding hierarchy.

Abstract: Examples disclosed herein relate to determining a segmentation boundary based on images representing an object. Examples include an IR image based on IR light reflected by an object disposed between an IR camera and an IR-absorbing surface, a color image representing the object disposed between the color camera and the IR-absorbing surface, and determining a segmentation boundary for the object.

Abstract: The present invention discloses a toning monitor with LUT mapping function, for performing LUT mapping to an input image. The toning monitor comprises an LUT storing unit and further comprises a receiving module, an analysis module, and a display module. The receiving module is configured for receiving at least one LUT data. The analysis module is configured for analyzing that whether the LUT data meets a predetermined condition. If the LUT data meets the predetermined condition, the received data is updated in the LUT storing unit for a new LUT mapping. If the LUT data does not meet the predetermined condition, the LUT data is discarded. The display module is configured for displaying the input image which is updated with the new LUT mapping according to the analysis result from the analysis module.

Abstract: An encoder receives a target image in a standard dynamic range and a guide image in a high dynamic range, wherein both the target image and the guide image represent the same scene. A color transient improvement (CTI) filter is selected to predict a chroma component of a decoded version of the target image based on both the luma and chroma components of the target image and the guide image. The filtering coefficients for the CTI filter are computed by minimizing an error measurement (e.g., MSE) between pixel values of the decoded image and the guide image. The computed set of filtering coefficients is signaled to a receiver (e.g., as metadata). A decoder receives the coded image and the metadata, and applies the same CTI filter to the decoded image to generate an output image.

Abstract: An image coding method includes performing: context arithmetic coding to consecutively code (i) first information indicating whether or not to perform SAO processing for a first region and (ii) second information indicating whether or not to use, in the SAO processing for the first region, information on SAO processing for a region except the first region; and bypass arithmetic coding to code other information after the first and second information are coded. The other information includes third information indicating whether the SAO processing is edge or band offset processing. In the performing of context arithmetic coding, an initial bit value in a bit string of a parameter indicating a type of the SAO processing is coded as the first information. In the performing of bypass arithmetic coding, a value of a next bit following the initial bit in the bit string of the parameter is coded as the third information.

Abstract: An image coding method includes: performing context arithmetic coding to consecutively code (i) first information indicating whether or not to perform sample adaptive offset (SAO) processing for a first region of an image and (ii) second information indicating whether or not to use, in the SAO processing for the first region, information on SAO processing for a region other than the first region, the context arithmetic coding being arithmetic coding using a variable probability, the SAO processing being offset processing on a pixel value; and performing bypass arithmetic coding to code other information which is information on the SAO processing for the first region and different from the first information or the second information, after the first information and the second information are coded, the bypass arithmetic coding being arithmetic coding using a fixed probability.

Abstract: High definition media content processing techniques are described in which enhanced media content rendering techniques may be performed to output high definition media content. In an implementation, luma keying may be provided to define clear pixels in a composite output using an optimum set of graphics processing instructions. In another implementation, techniques are described which may provide clear rectangles in a composite output of one or more video streams. Clear rectangles to appear in the composite output are configured by a media playback application. A texture is arrived at to represent a union of each of the clear rectangles and is applied to form the clear rectangles in the composite output. In another implementation, capture techniques are described in which an image to capture is resolved as strips to an intermediate texture and then from the texture to a capture buffer in system memory.

Abstract: A chromaticity correction device corrects chromaticity of a video signal displayed on a display panel of a display device to correspond to a change in a luminance value of the display panel. The chromaticity correction device includes a luminance detection unit which detects the luminance value, a backlight driving level detection unit which detects a backlight driving level, a temperature detection unit which detects an internal device temperature or an ambient temperature, a reference luminance value calculation unit which estimates a reference luminance value in a characteristic of an initial state, a chromaticity calculation unit which obtains a chromaticity change amount of white point chromaticity and estimated white point chromaticity that is an estimated value of current white point chromaticity, a chromaticity correction value calculation unit which obtains a chromaticity correction value and a chromaticity correction circuit which corrects the chromaticity of the video signal.

Abstract: It is determined whether or not an input image is an image converted from an image with a relatively low resolution based on one frame of an image. A resolution determination device includes: an edge strength calculator configured to obtain an edge strength of a pixel included in an input image based on luminance of the pixel and luminance of a pixel adjacent to the pixel, for each of a plurality of pixels included in the input image; and a resolution determiner configured to determine whether or not the input image is an image upconverted from an image with a predetermined resolution or less, based on distribution of the edge strengths.

Abstract: Some embodiments provide a program that performs a color balance operation. The program identifies an image that includes several pixels. Each pixel includes a luma component value and chroma component values. The program analyzes the luma component values of the pixels in the image to identify several luma ranges. The program determines, for each luma range in the several luma ranges, a set of transforms for modifying chroma component values of pixels in the image in order to remove a color cast from the image. The program applies the sets of transforms to the image to remove the color casts from the image.

Abstract: A display apparatus, which adjusts a luminance value of an image, and a method for driving the same are disclosed. The display apparatus includes a first image conversion unit that converts first image data into a plurality of second image data each including a luminance value, a luminance analysis unit that determines quantities of luminance values of the second image data, and determines a distribution of the luminance values, and a luminance adjustment unit that adjusts the respective luminance values of the second image data based on the quantities.

Abstract: A method for processing an image includes acquiring a low frequency component of a luminance component of an image, correcting the luminance component of the image using the acquired low frequency component, determining a level correction amount of each pixel of the corrected image using a frequency distribution of low frequency components of the acquired image and a low frequency component of each pixel of the image, and performing level correction using the determined level correction amount and a luminance distribution of the corrected image.

Abstract: Provided is an audio coding apparatus and method that can selectively apply a operation mode of a coding module for stereo or multi-channel representation according to input signal characteristics of each channel, when voice or music signals are transmitted using an audio codec in portable terminals capable of stereo or multi-channel input and output. The audio coding apparatus includes a down-mixer for down-mixing multi-channel audio signals into mono signals; a coder for coding the mono signals; an input channel correlation analyzer for deciding whether to give them stereo effect based on their signal distribution characteristics, and outputting a control signal indicating whether to perform stereo representation process; and a stereo representation unit for performing stereo representation process onto the multi-channel audio signals when the control signal indicating to perform stereo representation process.

Abstract: A system for, and method of, improving video image sharpness and a continuous-light-emitting video display system employing the system or the method. In one embodiment, the system for improving video image sharpness includes: (1) a sub-frame generator configured to receive a frame of a video image and generate plural sub-frames therefrom and (2) a spatial filter, associated with the sub-frame generator and configured to cause the plural sub-frames to be spatially filtered with respect to one another based on a display sequence thereof.

Abstract: The adaptive contrast enhancer uses an adaptive histogram equalization-based approach to improve contrast in a video signal. For each video frame, the histogram of the pixel luminance values is calculated. The calculated histogram is divided into three regions that are equalized independently of the other. The equalized values are averaged with the original pixel values with a weighting factor that depends on the shape of the histogram. The weighting factors can be also chosen differently for the three regions to enhance the darker regions more than the brighter ones. The statistics calculated from one frame are used to enhance the next frame such that frame buffers are not required. Many of the calculations are done in the inactive time between two frames.

Abstract: A display method and apparatus are provided for enabling a user, whether or not he has experience, to readily detect a luminance level of a video image with high accuracy. A luminance level of a video signal of a video image is converted to color information to display a change in the luminance of the video image as a change in color. The conversion preferably involves a method of converting the luminance level to color information of three primary colors, red, green, blue, in accordance with a plurality of weights, respectively, a method of converting a luminance level in a predetermined range to color information having a changing rate larger than a changing rate of the luminance level, a method of converting a luminance level out of the predetermined range to color information of a maximum or a minimum level, or the like. Also, the input video signal is preferably displayed together with a converted video image side by side or one on another.

Abstract: A color gamut mapping maps an input image signal which has input pixel colors defined by an input luminance and an input chromaticity into a mapped image signal which has corresponding mapped pixel colors defined by a mapped luminance and a mapped chromaticity for a display. The input pixel colors lie within the input color gamut different than the display color gamut. The desired mapped luminance may be retrieved by looking up stored desired luminance values in a look-up table at the mapped chromaticity, or by calculating a relative to white luminance, or a luminance decrease, etc.

Abstract: An error reduction apparatus includes a combing absence detector to detect absence of combing from a luminance signal, a combing presence detector to detect presence of combing from a color-difference signal, a vertical low-pass filter to receive the color-difference signal, and a selector to select one of the color-difference signal and a color-difference signal to which the vertical low-pass filter is applied based on detection results of the combing absence detector and the combing presence detector, and if combing is absent in the luminance signal and combing is present in the color-difference signal, the error reduction apparatus applies the vertical low-pass filter to the color-difference signal and outputs the signal.

Abstract: An image processing apparatus includes an image decoding unit and an image adjusting unit. The image decoding unit decodes a data stream to generate a first image comprising a first pixel. The image adjusting unit comprises a pixel edge determining module and a chrominance adjusting module. The pixel edge determining module determines an edge luminance parameter according to an initial luminance value of the first pixel and a plurality of initial luminance values of pixels neighboring the first pixel, and determines an edge chrominance parameter according to an initial chrominance value of the first pixel and a plurality of initial chrominance values of pixels neighboring the first pixel. The first chrominance adjusting module determines a first weight according to the edge luminance parameter and the edge chrominance parameter, and generates a first adjusted chrominance value by weighted calculating a first predetermined chrominance value and the initial chrominance value of the first pixel.

Abstract: A method of automatic luminance-chrominance delay compensation is disclosed. The method generally includes the steps of (A) generating an intermediate signal by processing a video signal such as to enhance a plurality of edges in a picture within the video signal, the picture having a luminance component and a chrominance component temporally separated from each other by an actual delay, (B) identifying an estimated delay between the luminance component and the chrominance component by correlating the luminance component in the intermediate signal to the chrominance component in the intermediate signal at a plurality of relative delays and (C) compensating for the actual delay by delaying one of either (i) the luminance component and (ii) the chrominance component by the estimated delay.

Abstract: The invention relates to a method and module for regulating saturation degree. In this method, a curvature of a special function in all position is regulated by a saturation parameter to obtain a regulated function. A color input signal is assigned as an independent variable of the regulated function to calculate a color output signal corresponding to the color input signal.

Abstract: A color reconstruction system for an SECAM television signal includes a luminance and chrominance separator and color decoder, first and second line buffer blocks, a vertical similarity calculator and a reconstructor. The luminance and chrominance separator and color decoder receives and filters an SECAM television signal with a luminance and a chrominance to produce a luminance signal and a chrominance signal. The first line buffer block temporarily stores the luminance signal. The second line buffer block temporarily stores the color difference signal. The vertical similarity calculator produces an upper similarity coefficient and a lower similarity coefficient based on the luminance signals produced by the luminance and chrominance separator and color decoder and temporarily stored in the first line buffer block respectively.

Abstract: The present invention relates to a method and corresponding system for improving the perceived visual quality of images for instance displayed on a color television screen. According to the invention, there is provided a means for carrying out histogram processing (13) for scaling an input video signal (6) such that the maximum dynamic range is utilised and where the quality of the perceived image is also optimised. According to the invention, the histogram processing (13) provides a transfer function for the image pixels to obtain enhanced image dynamics and also to provide a chrominance gain (gc) for scaling the chrominance components, when the luminance has been changed by the histogram processing. According to the invention, the histogram processing can also take variations of the ambient light into account (5).

Abstract: An image enhancement unit and method for enhancing the image quality of a video stream is presented. The image enhancement unit combines a contour enhancement unit, a luminance contrast stretching unit, a color transient improvement unit, and a color saturation control unit to enhance both the luminance and chrominance values in the video stream. Specifically, the contour enhancement unit processes the luminance values to improve the contours of the images in the video steam. The luminance contrast stretching unit further improves the luminance by enhancing the contrast in the images. The color transient improvement unit processes the chrominance values to remove blurring around along the edges of color transitions and the color saturation control unit increases the color saturation to improve the appearance of the images.

Abstract: A video display apparatus generates luminance information for individual frames of a video signal from histograms of the luminance component of the video signal, and classifies the content of the video signal on the basis of this information. Color saturation information is also generated from color saturation histograms, and scene changes are detected. Video correction parameters and display control parameters are derived from the content classification and color saturation information. The video signal is corrected according to the video correction parameters, and displayed according to the display control parameters. Display characteristics suitable for the video content are thereby obtained. The parameters are changed when a scene change is detected, so that the viewer is not disturbed by the change in video display characteristics.

Abstract: A method and system are provided in which a video channel is selected from multiple video channels in a video processor. A picture quality profile associated with a content of the selected video channel is received by the video processor to modify a value of one or more picture quality control parameters utilized by the video processor that are mapped to a user level setting. Metadata associated with the content of the selected video channel may be determined and communicated to a server. The server may utilize the metadata to determine a picture quality profile for the video processor. In some instances, environmental conditions associated with a television or display device may be measured and communicated to the server to determine the picture quality profile. For example, the measured environmental conditions may comprise one or more of an ambient light, a sound, a motion, and a temperature measurement.

Abstract: RGB-Z imaging systems acquire RGB data typically with a high X-Y resolution RGB pixel array, and acquire Z-depth data with an array of physically larger Z pixels having additive signal properties. In each acquired frame, RGB pixels are mapped to a corresponding Z pixel. Z image resolution is enhanced by identifying Z discontinuities and identifying corresponding RGB pixels where the Z discontinuities occur. Thus segmented data enables RGB background substitution, which preferably blends foreground pixel color and substitute background color. The segmented data also enables up-sampling in which a higher XY resolution Z image with accurate Z values is obtained. Up-sampling uses an equation set enabling assignment of accurate Z values to RGB pixels. Fixed acquisition frame rates are enabled by carefully culling bad Z data. Segmenting and up-sampling enhanced video effects and enable low cost, low Z resolution arrays to function comparably to higher quality, higher resolution Z arrays.

Abstract: An image correction circuit capable of easily achieving adaptive color correction on the basis of a luminance correction amount is provided. An image correction circuit includes: a luminance correction section for performing luminance correction on input image data; and a color correction section for performing adaptive color correction on input image data on the basis of the following formula (1): Cout?Cin×[1+M×(?Y/L)]??(1) where Cout represents a chrominance signal after color correction, Cin represents a chrominance signal before color correction, M represents an adaptive color correction magnitude which is a fixed positive value, ?Y represents the total amount of luminance correction by the luminance correction section, L represents a fixed positive value satisfying L<(Ymax/2), and Ymax represents maximum luminance of input image data.

Abstract: The invention discloses an image processing apparatus for adjusting the lightness of an input image which has a hue. The image processing apparatus includes a look-up table, a processing unit and an adder. The look-up table records M lightness, N hues and M*N corresponding lightness offset values. The processing unit is used for storing the look-up table and for selecting a corresponding lightness offset value from the look-up table according to the lightness and the hue of the input image. The adder is coupled to the processing unit and used for adding the selected lightness offset value to the lightness of the input image, so as to obtain an adjusted lightness. Accordingly, the image quality is improved.

Abstract: An image display device that is capable of checking a focusing operation at the time of shooting by a user easily even if a small-sized monitor is used. A luminance-signal extracting unit extracts a luminance signal from a video signal. An amplitude change calculating unit calculates an amplitude change component of the luminance signal extracted. An edge-signal extracting unit extracts an edge signal from the luminance signal extracted. An amplitude calculating unit calculates an amplitude of the edge signal extracted. An amplitude-ratio calculating unit calculates a ratio of the amplitude of the edge signal to the amplitude change component of the luminance signal. A color conversion unit converts the edge signal to add colors according to the calculation result. An adder unit adds the color-converted edge signal and the luminance signal. A display unit displays the video signal to which the color-converted edge signal is added.

Abstract: A method for suppressing cross-coloration in a video display device includes receiving high-frequency components of luminance signals corresponding to scanlines of an image frame, determining luminance transitions according to the high-frequency components of the luminance signals, and adjusting chrominance signals of the scanlines according to the luminance transitions.

Abstract: A PC 40 outputs a picture signal for a white color to a TV 100, and generates chromaticity information by measuring luminance values of respective RGB color components from a picture displayed on the TV 100, thereby determining whether the chromaticity information undergoes a change by varying an output of any of the RGB color components by a predetermined amount. Subsequently, when the chromaticity information has not undergone a change, the contrast of the TV 100 is lowered by a predetermined amount, and re-acquisition re-determination of chromaticity information is executed. On the other hand, when the chromaticity information has undergone a change, determination is made on whether the chromaticity information substantially matches chromaticity information representing white, and in the affirmative case, a white balance adjustment value is stored in an EEPROM 112 while in the negative case, the re-acquisition/re-determination of chromaticity information is repeated.

Abstract: In a method of processing an input image, compression parameters of the input image are determined and luminance artifacts in the input image are reduced to obtain an improved luminance component of the input image, where the determined compression parameters guide the luminance artifact reduction. In addition, a chrominance noise and chrominance artifact level of the input image is estimated and a spatially-correlated chrominance noise and chrominance artifact of the input image is reduced with the improved luminance component, where the estimated chrominance noise and chrominance artifact level guide the spatially-correlated chrominance noise and chrominance artifact reduction to obtain an improved chrominance component of the input image. Moreover, an output image having the improved luminance component and the improved chrominance component is outputted.

Abstract: An image processing apparatus includes an image decoding unit and an image adjusting unit. The image decoding unit decodes a data stream to generate a first image comprising a first pixel. The image adjusting unit comprises a pixel edge determining module and a chrominance adjusting module. The pixel edge determining module determines an edge luminance parameter according to an initial luminance value of the first pixel and a plurality of initial luminance values of pixels neighboring the first pixel, and determines an edge chrominance parameter according to an initial chrominance value of the first pixel and a plurality of initial chrominance values of pixels neighboring the first pixel. The first chrominance adjusting module determines a first weight according to the edge luminance parameter and the edge chrominance parameter, and generates a first adjusted chrominance value by weighted calculating a first predetermined chrominance value and the initial chrominance value of the first pixel.

Abstract: A superior Color Transient Improvement technique is adaptive to the local image features, so that more natural color edge transition improvement can be accomplished. A gain control function is provided that depends on the local image feature so that different regions of the image can be treated differently. Further, a correction signal is controlled in such a way (by the local image feature) that neither undershoot nor overshoot occurs, eliminating the need for post-processing for undershoot/overshoot removal.

Abstract: According to one embodiment, in the case where a non-linear correction processing is performed in a direction in which an amplitude level of a luminance signal is heightened, an amplitude level correction processing is performed to a color signal on the basis of a first coefficient read from a first table prepared in advance in correspondence to the case. In the case where a non-linear correction processing is performed in a direction in which the amplitude level of the luminance signal is lowered, an amplitude level correction processing is performed to the color signal on the basis of a second coefficient read from a second table prepared in advance in correspondence to the case.

Abstract: A composite video signal has a chrominance signal (14) and a luminance signal (10). A method and apparatus are disclosed for adjusting the chrominance signal (14) to obtain an enhanced chrominance signal (15) in which at least some transitions in the enhanced chrominance signal (15) align more closely with edges in the luminance signal (10) than transitions in the original chrominance signal (14) align with edges in the luminance signal (10). An edge in the luminance signal (10) of the composite video signal is detected (11). The position of the edge relative to a current pixel is detected (11). The chrominance of the current pixel is adjusted (13) in accordance with at least the position of said current pixel relative to the edge to obtain an enhanced chrominance signal (15).

Abstract: A method and unit for noise reduction in a current image frame, wherein the current image frame is a part of a sequence of image frames. The method compares a current pixel value of a pixel within the current image frame with a corresponding pixel value of the pixel in at least one adjacent image frame, and determines a piled-up value of the current pixel value and the corresponding pixel value if a pixel difference between the current pixel value and the corresponding pixel value is below a pixel threshold, wherein the pixel threshold depends on the corresponding pixel value and/or the current pixel value. The method and unit can be applied for block and color processing as well.

Abstract: The present invention relates to a method and a device for adaptive color correction by weighting procedure according to the pixel luminance so as to adjust the pixel chrominance. The present invention prevents color noise occurring in the dark pictures. The method for adaptive color correction, comprises steps of: providing a luminance value of a pixel: determining a weighting value corresponding to said luminance value of said pixel, wherein said weighting value substantially increases when said luminance value increases; and adjusting chrominance of said pixel according to said weighting value.

Abstract: A method and system is provided for creating a display and generating images. Creating the display includes receiving a transmissive display component over an emissive display component and positioning each emissive display pixel with one or more transmissive display pixels creating a display surface capable of displaying color images. Displaying images on the display surface includes decomposing image data associated with the image into separate chrominance signal levels and luminance signal levels, displaying the representation of the chrominance signal levels of the image by driving emissive display pixels in correspondence to the chrominance characteristic of the image, generating the representation of the luminance signal levels for display through the emissive display pixels of the emissive display component and filtering the displayed representation of the luminance signal level using transmissive display pixels in accordance with the luminance characteristics of the image.

Abstract: An image enhancement unit and method for enhancing the image quality of a video stream is presented. The image enhancement unit combines a contour enhancement unit, a luminance contrast stretching unit, a color transient improvement unit, and a color saturation control unit to enhance both the luminance and chrominance values in the video stream. Specifically, the contour enhancement unit processes the luminance values to improve the contours of the images in the video steam. The luminance contrast stretching unit further improves the luminance by enhancing the contrast in the images. The color transient improvement unit processes the chrominance values to remove blurring around along the edges of color transitions and the color saturation control unit increases the color saturation to improve the appearance of the images.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for distinguishing false motion from true motion, in a video signal that is received by a television set. The video signal is received at the television set. The video signal includes a luma component and a chroma component. A motion detection operation is performed for each of the chroma component and the luma component in several frequency regions of the received video signal. Each frequency region has a unique, adjustable threshold value for distinguishing false motion from true motion, that is dynamically adjustable based on the incoming video signal, and as a result the motion detection accuracy is improved and image artifacts are minimized in an image that is described by the video signal and is to be displayed on the television set.

Abstract: A color transient improvement unit and method for improving color transients to remove blurring along the edges of color transitions is presented. A transient characterization unit calculates various transient characterization values for a color transient detection window surrounding a current pixel. A transient threshold unit analyzes the transient characterization values to determine whether the color transient detection window contains a color transition. If a color transition exists, a transient correction unit generates an improved U chrominance value and an improved V chrominance value for the current pixel.

Abstract: A method of automatic luminance-chrominance delay compensation is disclosed. The method generally includes the steps of (A) generating an intermediate signal by processing a video signal such as to enhance a plurality of edges in a picture within the video signal, the picture having a luminance component and a chrominance component temporally separated from each other by an actual delay, (B) identifying an estimated delay between the luminance component and the chrominance component by correlating the luminance component in the intermediate signal to the chrominance component in the intermediate signal at a plurality of relative delays and (C) compensating for the actual delay by delaying one of either (i) the luminance component and (ii) the chrominance component by the estimated delay.

Abstract: A method and system for correcting luma data and chroma data from a composite signal for a plurality of lines are disclosed. The method and system include correlating line data of the composite signal from a portion of the plurality of lines to provide a plurality of correlation signals. The method and system also include generating a chroma suppression signal based on the plurality of correlation signals. The chroma suppression signal indicates whether to suppress a portion of the chroma data. The chroma suppression signal indicates that the portion of the chroma data should be suppressed when a large luma transition and the chroma data being beneath a threshold are detected.

Abstract: Image processing enhances display quality by controlling both the image modulator and the light sources. The image processing system utilizes a combination of user inputs, system configuration, design information, sensor feedback, pixel modulation information, and lighting control information to characterize the display environment on a per pixel basis. This per pixel characterization information is combined with one or more frames of the incoming real time display data. The image processing system processes each incoming pixel and produces a modified corresponding output pixel. Each pixel of each frame is processed accordingly. The image processing system also produces control information for the light sources. The light source control information can control individual lamps, tubes or LEDs, or can control a block or subset of the light sources. The resulting display has improved image consistency, enhanced color gamut, higher dynamic range and is better able to portray high motion content.

Abstract: The digital camera (100) has an image processor that corrects an input image for a spatial frequency band. The edge enhancement block (106) computes an edge component for band correction. A signal interpolated at color interpolation block (107) to make compensation for a color component missing from each pixel of a single-chip image is then converted at YC transform block (108) into a luminance signal and a color difference signal after tone correction, the luminance and color signals sent out to YC synthesis block (110) and color saturation correction block (109), respectively. Then, the color saturation correction block (109) controls the color saturation of the color difference signal to send it out to YC synthesis block (110). At the same time, the edge component computed at edge enhancement block (106) is sent out to YC synthesis block (110), too.