Abstract: In an image processing apparatus that performs image processing on an image supplied from an imaging apparatus that captured an original image and that performed gamma processing on the original image to generate the image to be supplied to the image processing apparatus, inverse gamma processing means performs inverse gamma processing on the image supplied from the imaging apparatus so that the image has characteristics the same as characteristics of the original image, which corresponds to the image before the image was subjected to the gamma processing in the imaging apparatus, and correction processing means performs correction processing on the image subjected to the inverse gamma processing using the inverse gamma processing means so that blur in the image is corrected.

Abstract: A viewfinder configured to display a captured image includes: an edge correction signal generation unit configured to generate a peaking signal corresponding to an edge enhancement correction target hue that is a hue for which edge enhancement correction will be performed from three primary color signals generated from an input video signal; a signal adding unit configured to add the peaking signal generated by the edge correction signal generation unit to each of the three primary color signals generated from the input video signal; and a driving signal generation unit configured to generate a driving signal for a display device from the three primary color signals to each of which the peaking signal has been added by the signal adding unit.

Abstract: An imaging apparatus includes an imaging unit configured to image an object, a gain adjustment unit configured to adjust a gain for an image signal output from the imaging unit, a signal processing unit configured to process the image signal, the signal processing unit including a first noise reduction unit to reduce a particular noise included in the image signal, an image compression unit configured to compress an image signal output from the signal processing unit, the image compression unit including a second noise reduction unit to reduce the particular noise included in the image signal output from the signal processing unit, and a control unit configured to set one of the first and second noise reduction units into an operative state and another unit into an inoperative state according to a gain adjustment by the gain adjustment unit.

Abstract: An image pickup device includes an image pickup unit configured to convert an optical image of a subject to image data and to output the image data, a face image recognition unit configured to recognize face image from the image data, and a face portion judgment unit configured to judge each portion in the face image recognized by the face image recognition unit. When every portion in the face image can be judged by the face portion judgment unit, a release button for executing photographing of the subject is automatically pressed, or the photographing operation is executed.

Abstract: An image processing apparatus includes an image quality correction circuit for correcting an image quality of input video data by enhancing the input video data and a control circuit for controlling the image quality correction circuit. The control circuit detects a signal level of a high-frequency component of the input video data and controls the image quality correction circuit in response to the signal level detection result so that the degree of enhancement of the input video data is increased in response to an increase in the signal level of the high-frequency component.

Abstract: An image processing device includes: a frequency divider for performing a frequency division processing of dividing an input image into a plurality of frequency components each having a frequency band; a noise remover for performing a noise component removal processing of removing a noise component from a high frequency component in the frequency components each having the frequency band obtained by the frequency division processing by the frequency divider; an edge preservation information calculator for detecting an edge intensity based on a low frequency component in the frequency components each having the frequency band obtained by the frequency division processing by the frequency divider, and calculating edge preservation information relating to a degree of preserving an edge component based on the detected edge intensity; an edge preserving section for preserving the edge component in the high frequency component, based on the edge preservation information calculated by the edge preservation informati

Abstract: An information processing apparatus for correcting chromatic aberration of video data, includes a white saturation pixel detecting unit for detecting a white saturation pixel having white saturation using a G signal of the video data composed of an RGB signal, a spatial signal processing unit for performing a spatial signal process on the RGB signal across a plurality of lines, a color signal generating unit for generating a color signal from the RGB signal processed by the spatial signal processing unit, a white saturation distribution information generating unit for generating white saturation distribution information representing a distribution of the white saturation pixels detected by the white saturation pixel detecting unit, and a chromatic aberration correcting unit for correcting a chromatic aberration of the color signal generated by the color signal generating unit, using the white saturation distribution information generated by the white saturation distribution information generating unit.

Abstract: An image capture apparatus includes a high frequency signal extraction unit, a first filter unit, a second filter unit and a level setting unit. The high frequency signal extraction unit extracts a high frequency signal from an input signal. The first filter unit applies a horizontal band-pass filter to the input signal. The second filter unit applies a vertical band-pass filter to the input signal. The level setting unit sets a level, which is used to remove a noise component from the high frequency signal, to one of a first level and a second level lower than the first level. The level is set to the first level, if the input signal is obtained from a first area including low contrast. The level is set to the second level, if the input signal is obtained from a second area including small pattern.

Abstract: An exemplary liquid crystal display (200) includes a data circuit (230), a timing control and video output unit (210). The timing control and video output unit includes an image edge enhancement circuit (211) configured for sharpening at least one edge of an image shown by the liquid crystal display, and a converter (212). The image edge enhancement circuit includes a color adjusting unit (214) and a brightness comparison unit (213). The color adjusting unit configured for receiving and adjusting Cb, Cr color factors of the YCbCr image signals according to a result of comparison of brightness factors Y of the YCbCr image signals received from the brightness comparison unit. The adjusted YCbCr image signal is converted to a corresponding RGB signals by the converter circuit and the RGB signals are sent to the data driving circuit.

Abstract: A sharpness processing method and system for a digital image are applied to an image capturing device for capturing a raw image. The method includes the steps. An image processing procedure is performed on the raw image to generate a registered image. A first sharpness enhancement table and a second sharpness enhancement table respectively sharpness attenuation at an outer-edge region and a central region of the registered image are loaded, and a range between the outer-edge region and the central region is defined as a plurality of critical regions. A sharpness enhancement weight table is loaded, and weight values of each critical region respectively corresponding to the first sharpness enhancement table and the second sharpness enhancement table are searched, for obtaining a sharpness enhanced value of each critical region. An image sharpness processing procedure is performed on the critical region, for correct the registered image into a digital image.

Abstract: In an image signal processing apparatus, line memories conventionally provided at a latter stage of the apparatus in order to convert a VGA image signal into a CIF image signal are eliminated. Image data of the VGA held in a unit of one line in plural line memories 60 provided in a digital signal processing circuit are weighted and added in a VLPF 62. A factor setting part 76 of the VLPF 62 changes weighting factors according to a positional relation between a position of a generation object line of the CIF and a line of the VGA. The weighting factors are determined so that a characteristic of trapping ½ of a vertical sampling frequency fv is also obtained. The VLPF 62 uses the weighting factors to trap fv/2, and changes the position of the vertical sampling point to a position of each line of the CIF image.

Abstract: In an image processing apparatus that performs image processing on an image supplied from an imaging apparatus that captured an original image and that performed gamma processing on the original image to generate the image to be supplied to the image processing apparatus, inverse gamma processing means performs inverse gamma processing on the image supplied from the imaging apparatus so that the image has characteristics the same as characteristics of the original image, which corresponds to the image before the image was subjected to the gamma processing in the imaging apparatus, and correction processing means performs correction processing on the image subjected to the inverse gamma processing using the inverse gamma processing means so that blur in the image is corrected.

Abstract: The present invention relates to digital image sensors and in particular to contour filters (ZSB, 7) preventing green non-uniformity in the contour signal of the RGB Bayer image sensors. A set of rules is specified for designing the filter coefficients in the filter, whereby green non-uniformity is prevented.

Abstract: An image signal is input to two LPFs having different transmission characteristics. A selector chooses one of outputs of the respective LPFs and delivers the chosen output to a gamma correction circuit. The switching of the selector is controlled by a filter control circuit. In the filter control circuit, a comparator compares an exposure time E of a current frame with a threshold value R. The selector is controlled so as to select an output of one of the LPFs that has a lower cutoff frequency and a greater noise component elimination effect than the other LPF does if the exposure time E is longer than or equal to the threshold value R.

Abstract: Descriptions are provided of various implementations of an automated tuning process configured to optimize a procedure for post-processing images captured by a camera sensor.

Abstract: A method and apparatus for color plane interpolation are provided which interpolates the color values of pixels differently depending on an edge direction and whether a pixel is at an edge within an image. The use of the edge detection during the interpolation of each of the colors present in the color pattern helps reduce some of the disadvantages of the loss of image sharpness abundant in known demosaicing techniques.

Abstract: A method including presenting a video sequence on a display where the video sequence includes video frames, calculating a quality indicator with respect to the video frames and automatically indicating which video frames meet or exceed a predetermined image quality threshold depending on the quality indicator.

Abstract: The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

Abstract: Edge components in a predetermined direction of a captured image are extracted to generate a waveform image representing the levels of the extracted edge components and the extracted positions. The waveform image is displayed with the captured image. For example, the operability and visibility for focusing in manual focusing can be improved.

Abstract: At least two high-frequency signals are generated using luminance signals of at least two color components contained in a video signal, and a high-frequency signal for edge emphasizing processing is generated from the at least two generated high-frequency signals based upon the size relationship between the at least two high-frequency signals. Edge emphasizing processing is applied to the luminance signals, which are obtained from the video signal, using the high-frequency signal for edge emphasizing processing thus generated.

Abstract: An apparatus and method for processing a captured image and, more particularly, for processing a captured image comprising a document. In one embodiment, an apparatus comprising a camera to capture documents is described. In another embodiment, a method for processing a captured image that includes a document comprises the steps of distinguishing an imaged document from its background, adjusting the captured image to reduce distortions created from use of a camera and properly orienting the document is described.

Abstract: There is provided a digital photographic instrument comprising an edge enhancing section which enhances the edge of image data. The instrument determines whether a focus is good or bad and adjusts the degree of edge enhancement in the edge enhancing section according to the result of the determination, thereby giving a sharp photograph. The instrument also shortens time required for focusing by complementing an autofocusing mechanism.

Abstract: An image processing apparatus includes: a contrast area detector detecting a partial area from among partial areas in an input image signal as a contrast area, the input image signal being formed by a plurality of pixels, the contrast area being a partial area in which contrast of an input luminance indicative of a luminance of the input image signal is greater than a predetermined value; a luminance distributor distributing the input luminance in the contrast area into a bright-side luminance corresponding to a bright side of the input luminance and a dark-side luminance corresponding to a dark side of the input luminance; and a boundary luminance value generator generating a boundary luminance value between the bright-side luminance and the dark-side luminance on the basis of the distributions of the bright-side luminance and the dark-side luminance.

Abstract: An image acquiring apparatus and an image processing method thereof. First, the apparatus acquires an image including at least one pixel corresponding to image data. A location of the at least one pixel of the image is represented by an actual coordinate. Next, the apparatus proceeds the stray processing according to the actual coordinate and generates a virtual compensation parameter. Then, the apparatus adjusts the image data into adjusted image data according to the virtual compensation parameter. Finally, the apparatus displays the image according to the adjusted image data.

Abstract: Provided are a digital image processing apparatus and a method of controlling the apparatus, and more particularly, is a digital image processing apparatus which embodies a focusing screen digitally instead of optically, and a method of controlling the apparatus. The digital image processing apparatus includes: a lens; a photographing device obtaining data of an original image from light which has passed through the lens; and a digital signal processor performing a blurring treatment on the original image obtained from the photographing device and displaying the original image.

Abstract: A display device calibration system is provided. The overall color response of a display family is characterized, and the idiosyncratic color response characteristics of the display family are determined. The idiosyncratic color response characteristics of the display family are related to respective idiosyncratic color response points. Individual idiosyncratic color response point values for an individual member of the display family are determined. The color response of the individual member of the display family is specified from the individual idiosyncratic color response point values of the individual member of the display family and the overall color response of the display family.

Abstract: A method for determining a sharpness predictor for an input digital image includes determining one or more image metrics by analyzing the input digital image; and determining the sharpness predictor from the one or more image metrics.

Abstract: An image processing apparatus of the present invention can perform appropriate edge enhancement processing on any image while preventing increases in noise and chromatic aberration in the process of image processing. The image processing apparatus obtains photographic information present at generation of the image, determines, based on the photographic information, an edge enhancement coefficient to be used in performing edge enhancement processing, and performs edge enhancement processing to the image using the determined coefficient. Further, an image processing method of the present invention makes it possible to perform appropriate edge enhancement processing on any image while preventing increases in noise and chromatic aberration in the process of image processing.

Abstract: The present invention relates to a tone-conversion device for converting a tone of an image having an achromatic signal and a chromatic signal, and it includes the following components: a signal extracting unit defining an achromatic signal of a first pixel or a second pixel from plural pixels as an achromatic signal value, the second pixel being in an immediate neighborhood; a neighborhood processing unit generating a local signal of the first pixel according to the achromatic signal and the chromatic signal of a third pixel contained in the neighborhood area which is larger than the second pixel; a gain determining unit determining a conversion gain for the first pixel according to the achromatic signal value and the local signal; and a tone conversion unit performing tone conversion by multiplying the signal component of the first pixel by the conversion gain.

Abstract: An image processing method comprises receiving a raw color image as produced by an image sensor. A color image having a plurality of pixels is generated by processing raw image data from said raw color image, wherein pixels for which color values are absent in said raw image data are assigned color values derived from present color values in said raw image data. A sharpening term is generated by processing raw image data from said raw color image. Then, an improved color image is produced by combining said color image with said sharpening term. The raw color image may be a Bayer image, and the image processing method may be implemented in a cost and power efficient integrated circuit using limited memory.

Abstract: It is an object of the present invention to provide a video signal processing device, which can produce a digital video signal, excellent in image quality, fully utilizing effective picture elements of the imaging element, without performing a special control of an imaging element driving unit. In accordance with a contour correction gain calculated based on a compression ratio detecting signal outputted from an image compressing unit 21, a contour correction unit 22 can carry out a contour correction on a compressed image. Accordingly, an NTSC/PAL encoder 24 can output a preferable video signal, which has been subjected to an appropriate contour correction. Moreover, a digital outputting unit 25 outputs an uncompressed video signal, and therefore can provide a preferable video signal without deteriorating the effective picture elements of an imaging element.

Abstract: A focus state display apparatus comprising focus area extraction means for extracting the image signals of a predetermined area from photographed image signals, edge enhancement processing means for enhancing the edge of the extracted image signals, time integration value calculation means for calculating an integration value of the edge-enhanced image signals in a certain period of time, focus state determination means for determining the focus state of the photographed image signals on the basis of the calculated integration value, and focus state display means for displaying the determined focus state. A user is capable of readily determining the focus state of a camera and confirming and adjusting the focus thereof with accuracy even in a display apparatus of a camera-equipped portable terminal device, where the size and resolution thereof are limited.

Abstract: An image processing apparatus is configured as follows. Namely, an image processing apparatus is provided with an imaging device in which a plurality of types of imaging elements having different spectral sensitivities are aligned on a single plane and which obtains a color imaging signal, first edge direction judging unit which judges a direction along which an edge is produced in the color imaging signal based on pixel values of the respective imaging elements, a high-color difference region judging unit which judges a region where the pixel values have a high-color difference, second edge direction judging unit which further judges a direction of the edge, direction dependence smoothing unit which smoothes the pixel values of the respective imaging elements by interpolating them along the direction, and omnidirectional smoothing unit which smoothes the pixel values of the respective imaging elements in all directions based on pixel values of peripheral pixels.

Abstract: A filter section performs color carrier component removal and high-frequency level correction according to color image signal data, and a correction section performs edge enhancement correction. By these operations, luminance signal data is obtained. The characteristics of the filter section are established adaptively in accordance with the luminance signal level of low spatial frequency components in the color image signal data, the luminance signal edge level in the color image signal data, whether or not a predetermined color is exhibited in the color image signal data, a color difference edge level in the color image signal data, or whether or not the RGB data reaches the saturation level in the color image signal data.

Abstract: The image processing apparatus includes an RGB-YUV converter for converting a color image into a luminance signal and a color difference signal and a YUV false color remover for removing false color based on the luminance signal Y and the color difference signals U, V. The false color remover includes an edge intensity calculator for calculating edge intensity based on the luminance signal Y, a modulation coefficient calculator for calculating a modulation coefficient so that a degree of modulation is greater as the edge intensity is higher, and a UV modulator for modulating a color difference signal having a value smaller than a prescribed threshold based on the degree of modulation.

Abstract: A method, and digital capture apparatus for use therewith, is described for correcting a channel dependent color aberration in a digital image, where the digital image is composed of a plurality of color channels. The method includes capturing an image comprising the color channels, where one of the color channels is a blurred color channel due to a channel dependent color aberration affecting that channel. Then, one of the other color channels, other than the blurred color channel, is used as an indication of an aim sharpness, and the sharpness of the blurred color channel is adjusted, at least partially, toward the aim sharpness.

Abstract: An image processing method for executing edge enhancement for an original image includes: extracting edge components based upon the original image; correcting the extracted edge components by attenuating the individual edge components so that a frequency distribution related to intensity of the edge components approximates a Gaussian distribution assuming a specific width; and executing edge enhancement for the original image based upon the corrected edge components.

Abstract: An apparatus for processing a digital image signal includes a pseudo-luminance generator configured to generate pseudo-luminance signals from the image signal. An edge detector detects an edge in the image signal using a part of an interpolated image signal as a luminance signal for a line of the image signal including a pixel subjected to edge detection and using the pseudo-luminance signals for adjacent lines. A color suppressor suppresses pseudo-color present in the chrominance component of the image signal in response to a detected edge. A compensator may be provided to generate a second edge metric relative to the image signal to compensate for an edge detection error occurring in the edge detector. A color suppression coefficient calculator to generate a color suppression coefficient using a first edge metric generated by the edge detector and the second edge metric. Corresponding systems and methods are disclosed.

Abstract: At least either of image data and image generation record information is analyzed to determine an image quality parameter relating to image quality, and an output target decision regarding selection of image data as an output target is performed on the basis of the image quality parameter.

Abstract: The object is to enable picture compositing having a balanced and uniform appearance over the whole image even when performing space-variant image-signal processing. Provided is an image-signal processing apparatus for performing image-signal processing on an input image signal, the image-signal processing apparatus comprising a first signal processing unit for performing first signal processing on the input image signal; a correction-coefficient calculating unit for calculating a first correction coefficient on the basis of the image signal after being subjected to the first signal processing by the first signal processing unit; and a second signal processing unit for performing second signal processing on the input image signal using the first correction coefficient.

Abstract: A method of processing a moving picture includes determining, based on a pixel value at a predetermined position in a first frame included in a moving picture, a pixel value at a corresponding position to the predetermined position in a second frame which is subsequent to the first frame in the moving picture, and a degree of response delay caused at a display of the moving picture by a liquid crystal display, an output value for an output of a picture at the predetermined position in the second frame. The method further includes detecting an edge area from the second frame; and correcting the output value for the edge area so that an absolute difference between the output value for the edge area and a current output value is larger by a predetermined first correction amount.

Abstract: The present invention relates to an apparatus for and a method of providing a sharper image by preventing the deterioration of an image caused by the difference in dynamic ranges of a center part and a surrounding part of the image photographed by an image sensor or by the difference of lens resolution. In accordance with an embodiment of the present invention, an image edge detection apparatus and a method thereof, a sharpness emphasis apparatus and a method thereof, and a recoding medium recorded with a program performing the method can acquire the sharpness and quality of a desired image by detecting an edge of a surrounding part by use of an edge detection filter having a different filter area size and/or a weight of a computed edge value in a center part and the surrounding part, respectively, of the image, and then by giving a weight to the detected edge.

Abstract: Electronic data output from CCD is separated into a brightness component Y and color difference components Cb and Cr and an edge is extracted for each of the components. The edge amounts are calculated from the extracted edges and the component having the maximum edge amount is selected. Edge information (for example, edge gradient direction) is calculated based on the selected component having the maximum edge amount, a filter is selected based on the calculated edge information about the component having the maximum edge amount, and smoothing processing is performed for the electronic data output from the CCD based on the filter. The electronic data subjected to the smoothing processing is written into flash memory.

Abstract: A video signal processing apparatus includes: an imaging section for imaging a subject to generate a video signal; an outline emphasis processing section for emphasizing an outline portion within the imaged image, the outline emphasis processing section detecting the outline portion based on the video signal which is output from the imaging section and emphasizing the outline portion by using an externally-input outline emphasis control signal; an imaging control section for generating at least one imaging control signal for controlling an imaging operation of the imaging section; and an outline emphasis control section for generating an outline emphasis control signal for determining a level of emphasizing the outline portion in accordance with the at least one imaging control signal, and transmitting the outline emphasis control signal to the outline emphasis processing section.

Abstract: A solid-state image sensing apparatus in which a first signal converted linearly to the intensity of incident light, and a second signal converted logarithmically to the intensity of light, can be processed by a common circuit after undergoing a predetermined signal processing.

Abstract: This invention relates to a multimedia device (100) for use in multimedia collaboration apparatus and systems. Such apparatus and systems typically contain processing units (118) audio reception and transmission capabilities (140, 142), as well as video reception and transmission capabilities (146, 142). The reception and transmission capabilities allow analog audio/video signal transfer over UTP wires for audio transmit/receive. The reception, transmission, and decoding capabilities could exist in a single packaging. This or another single packaging can support a plurality of multimedia network signal formats, including analog plus digital or all digital.

Abstract: Noises are reduced in an image picked up in natural light without using lighting equipment that affect the picked up image. The present invention provides an image processing apparatus that includes an image acquisition unit that acquires a visible light image and an invisible light image corresponding to the visible light image, and a noise reduction unit that reduces noises of the visible light image by using the invisible light image.

Abstract: Accurately suppress chromatic aberration arising in a subject image is described. An image signal, which is obtained by a lens and a CCD and pertains to a subject image, is subjected to white balance adjustment performed by a white balance adjustment circuit. The signal is supplied to a color-blurring detection circuit before undergoing gamma correction. The color-blurring detection circuit has a low slice circuit, a high-pass filter, and a high clip circuit; detects an edge portion of a highlight of a G signal constituting the image signal; and supplies the detected edge portion as a color-blurring detection signal to a color-blurring suppressor circuit disposed subsequent to a ? correction circuit. The color-blurring suppressor circuit corrects color-difference signals CB, CR, which have been subjected to gamma correction, by use of the color-blurring detection signal, thereby suppressing the color-blurring having arisen in the edge of a highlight of the image.

Abstract: An image signal generated by a CCD image sensor is processed by the block-generating section 28 provided in an image-signal processing section 25. A class tap and a prediction tap are thereby extracted. The class tap is output to an ADRC process section 29, and the prediction tap is output to an adaptation process section 31. The ADRC process section 29 performs an ADRC process on the input image signal, generating characteristic data. A classification process section 30 generates a class code corresponding to the characteristic data thus generated and supplies the same to an adaptation process section 31. The adaptation process section 31 reads, from a coefficient memory 32, the set of prediction coefficients which corresponds to the class code. The set of prediction coefficients and the prediction tap are applied, thereby generating all color signals, i.e., R, G and B signals, at the positions of the pixels which are to be processed.

Abstract: There is provided a signal generator which includes a main memory which stores at least time data indicating timing when a state change of a timing pulse occurs and space data indicating a state of the timing pulse corresponding to the time data; a counter which counts a clock to be a reference; a first memory which stores predetermined time data in time data stored in the main memory; a comparator which compares an output of the counter with the predetermined time data stored in the first memory and to output a result; a second memory which stores predetermined space data in space data stored in the main memory; and output signal control means which controls the timing pulse to a state of the timing pulse indicated by the space data stored in the second memory on the basis of an output of the comparator.