Abstract: The present invention provides a device and an image adjustment method by simultaneously adjusting the luminance and the chrominance of an image. The device comprises a luminance analysis device, a contrast adjusting device, a luminance adjusting device, a chrominance compensation device and a luminance gain adjusting device. The method comprises steps of: generating a maximum input luminance signal, an average input luminance signal and a minimum input luminance signal according to an input luminance signal; generating a contrast value according to at least one of the maximum input luminance signal and the average input luminance signal; generating an input luminance offset according to the input luminance signal and the minimum input luminance signal; generating an output chrominance signal according to the contrast value and an input chrominance signal; and generating an output luminance signal according to the input luminance offset and the contrast value.

Abstract: A data processing method of executing nonlinear conversion for pixel data, comprising: a first step of obtaining an amount of statistics corresponding to the number of pixel data having a gradation value in a predetermined range from a plurality of pixel data for displaying a predetermined image; a second step of obtaining a parameter corresponding to the distribution condition of the gradation values of the plurality of pixel data; an adjusting step of adjusting the amount of statistics based on the parameter; and a determining step of determining a conversion characteristic of the nonlinear conversion based on the adjusted amount of statistics.

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: 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: An image display apparatus includes an image displaying unit that includes a light source unit and a light modulation device, a histogram generating unit, a light source luminance calculator, a function storing unit, a first evaluation value calculator, a second evaluation value calculator, a third evaluation value calculator, a function acquiring unit and a control unit. The function acquiring unit acquires a plurality of the third evaluation values by repeating processing by the first to third evaluation value calculators with modification to a level conversion function and acquires a level conversion function that has a smallest third evaluation. The control unit supplies a signal of a converted video resulting from conversion of the image with the acquired level conversion function to the light modulation device.

Abstract: Disclosed is a video processing apparatus including: a brightness adjusting part which adjusts the brightness of a whole portion of a received video signal according to a brightness adjusting value; and a brightness stretching part which calculates gradient values to stretch a first brightness in a first portion including a smaller brightness value than a first reference value and a second brightness in a second portion including a larger brightness value than a second reference value in the received video signal, and outputs the received video signal having the brightness adjusted by the brightness adjusting part in a third portion including a smaller brightness value than a minimum brightness value and in a fourth portion including a larger brightness value than a maximum brightness value in the received video signal by applying the calculated gradient values to the third portion and the fourth portion, respectively, to display the brightness of the received video signal corresponding to the third portion a

Abstract: Average picture level (APL) of a display and, in examples, histogram information is used to dynamically adjust the display contrast, or “gamma”, using an exponential function. APL can also be used for DC transmission adjustment and black/white stretch.

Abstract: Average picture level (APL) of a display and, in examples, histogram information is used to dynamically adjust the display contrast, or “gamma”, using an exponential function. APL can also be used for DC transmission adjustment and black/white stretch.

Abstract: An image reproducing apparatus is operative in accordance with multiple display modes. The image reproducing apparatus includes a data reproducing unit that reproduces an image on a display based on high dynamic range image data acquired from an object and stored in memory, and a dynamic range control unit that controls the dynamic range of the image to be reproduced on the display using one of different types of dynamic range control schemes in accordance with one of the display modes.

Abstract: A captured image projection apparatus obtains projection parameters and image effect correction parameters from a moving image captured at a low resolution in a task different from a task in which capturing of a high-resolution still image is to be performed, when a change ceases to occur in the moving image and before the capturing of the high-resolution still image is started. The apparatus changes the scale of the obtained projection parameters from one for low-resolution image to one for high-resolution image. The apparatus applies an image conversion process and an image effect process to the captured high-resolution still image by using the projection parameters and image effect correction parameters obtained before the still image is captured. Thereby, the captured image projection apparatus shortens the time required from the capturing of the image to projection thereof.

Abstract: An image signal processing method is disclosed for maintaining high image display quality by avoiding signal-mode misjudgment. The image signal processing method includes generating a first threshold based on a plurality of motion values generated prior to a first time when an image input signal is detected to be of a film mode, generating a second threshold based on the first threshold and a first offset, generating a third threshold based on the first threshold and a second offset, and determining whether the image input signal between the first time and a second time is the film mode or a video mode based on the second and third thresholds.

Abstract: An image processing apparatus according to an embodiment of the present invention includes a correction interval setting unit for setting a correction interval; a correction interval dividing unit for dividing the correction interval into a black side interval and a white side interval; histogram calculating units for calculating a total number of luminance histograms of the black side interval and the white side interval, respectively; gain setting units for setting gains of a ? curve for raising the luminance and a ? curve for lowering the luminance, respectively; gamma curve generating units for generating a gamma curve for raising the luminance and a gamma curve for lowering the luminance, respectively; a gamma curve combining unit for combining the gamma curve for raising the luminance and the gamma curve for lowering the luminance; and a luminance conversion unit for performing the luminance conversion process using the combined gamma curve.

Abstract: According to one embodiment, a picture signal processing apparatus comprises an acquisition unit which acquires histogram data on each luminance level from luminance signals for one frame, a frequency converter unit which eliminates histogram data that corresponds to a no-image portion displayed so as to occupy a predetermined region in a screen from among the acquired histogram data, a creation unit which creates a nonlinear correction processing table for applying a nonlinear correction processing to the input luminance signal on the basis of the histogram data subjected to a frequency conversion processing, and a processing unit which applies a nonlinear correction processing to the input luminance signal on the basis of the created nonlinear correction processing table.

Abstract: An image processing apparatus comprises: an acquisition unit that divides an inputted video image into a plurality of divisions, and acquires a histogram of each of the divisions; a generation unit that generates a gradation conversion curve for each of the divisions; a determination unit that determines whether or not the inputted video image is a multi-screen video image; and a gradation correction unit that performs a smoothing process in accordance with a pixel position, to correct the gradation of the video image in each of the divisions using the gradation conversion curve of each of the divisions, wherein when the inputted video image is the multi-screen video image, the determination unit detects a position of a boundary between the plurality of video image contents, and the gradation correction unit does not perform the smoothing process within a predefined area from the boundary.

Abstract: An apparatus for controlling black stretch includes a black stretching unit, an offset adjusting unit and an output unit. The black stretching unit performs black stretch processing on a video signal less than or equal to the maximum value of a black stretch control range in response to a slope of black stretch. The slope of black stretch corresponds to a region between a minimum value and a maximum value of the black stretch control range. The offset adjusting unit adjusts an offset of the black-stretched video signal. The output unit outputs an output video signal corresponding to the offset-adjusted video signal when the offset-adjusted video signal has a positive value in a region less than or equal to the minimum value, and outputs the output video signal corresponding to 0 when the offset-adjusted video signal has a negative value in the region less than or equal to the minimum value.

Abstract: According to one embodiment, an image processing apparatus includes a scaling converter, a luminance histogram detector, a determination module, and a super resolution processor. The scaling converter converts a first image signal to a second image signal having more pixels. The luminance histogram detector detects a luminance histogram. The determination module determines whether the second image signal includes a graphics image based on the luminance histogram. The super resolution processor converts the second image signal to a third image signal with a higher resolution than that of the second image signal, and performs sharpening based on the reference gain. When the second image signal includes a graphics image, the super resolution processor sets the gain of sharpening below the reference gain.

Abstract: A picture displaying method is disclosed. In the picture displaying method, a first picture is displayed. A luminance distribution chart which represents a distribution of luminance levels of the first picture is displayed. A first luminance level and a second luminance level are selected on the luminance distribution chart. The second luminance level is higher than the first luminance level. Input and output characteristics defined by the first luminance level and the second luminance level are changed to correct a gradation of the first picture and obtain the second picture. The first picture changes to the second picture and the second picture is displayed.

Abstract: According to one embodiment of the invention, a smoothing module is configured to smooth and reduce grayscale differences in a plain area of an input digital image signal according to a collection parameter. A histogram acquisition module is configured to acquire a histogram value of the input digital image signal for one frame. A histogram value buffer module is configured to buffer histogram values for a plurality of frames. A luminance level transition detection module is configured to detect an interval during which an image gradually changes from light to dark or from dark to light, based on the histogram values for a plurality of frames, and to output the correction parameter.

Abstract: According to one embodiment, a gradation control apparatus comprises a coring module configured to change the coring amount of a video signal according to the degree of movement of the video signal, a smoothing module configured to perform a gradation smoothing process on the video signal, and a parameter controller configured to obtain a frame difference histogram as the degree of movement of the video signal and change an effect parameter for the gradation smoothing process according to the result of weighting the histogram.

Abstract: Disclosed is an image display technique for displaying a high-quality image by an image signal of appropriate color saturation. To this end, in the invention, color histogram information is detected from a color difference signal and average brightness information or brightness histogram information from a brightness signal. Based on the detected color histogram information and average brightness information or brightness histogram information, the demodulation axis of a color difference signal is adjusted, thereby controlling the color saturation (chroma) of an image. This enables display of an image having color intensity suited to the brightness and chroma of an image signal.

Abstract: A technique for improving image quality using dynamic gray scale correction, in one example embodiment, includes dynamically computing non-linear gamma curves using histogram data extracted from a current video frame. A gray scale correction is then dynamically applied to each pixel in the current or next video frame as a function of the computed non-linear gamma curves.

Abstract: A color management unit is architected to achieve higher-quality appearance used in various video formats and to enable improvements in picture contrast and colorfulness. The color management unit comprises an optional input color space converter to convert the input digital video to a desired color space, an adaptive contrast enhancer to apply contrast improvement algorithms in response to different scenes in either manual or automatic modes, intelligent color remapping for enhancing selected colors, sRGB compliance to produce a video display that is uniform over different monitors, global color and brightness controls to combine global processing and color conversion, gamut compression to maintain pixel validity in color space conversion, and gamma correction to compensate for nonlinear characteristics of an output display.

Abstract: A method and a system for adaptive image enhancement are provided for measuring the image quality of a pixel region in a frame, performing an image classification based on the image quality measurement, and enhancing image quality by applying operations according to image classification of the region. Also provided is a method as above including the steps of dividing a frame into P pixel regions; and for each one of the pixel regions measuring the image quality; assigning an image quality class; and enhancing the image. Also provided is a system for adaptive image enhancement including a circuit to measure the image quality of a pixel region in a frame in a source video image; a circuit to perform an image classification of the region based on the image quality measurement; and a circuit to enhance the image quality of the region in the source video image a by applying operations based on the image classification of the frame.

Abstract: Color saturation in chroma correction is reduced. Hence, a two-dimensional histogram is generated in association with the luminance and chroma levels of an image for one frame. An ease of saturation of the image is calculated from the two-dimensional histogram. A chroma gain is set according to the ease of saturation. Color-difference signals undergo chroma correction according to the chroma gain k.

Abstract: A driving method and apparatus for a liquid crystal display is provided in which a contrast ratio of data to be displayed can be expanded and the brightness of a back light can be changed using an accumulated result of a plurality of frames. In the driving method, data to be displayed is converted into brightness components and arranged into a histogram for each frame. Second data having an expanded contrast is generated using the histograms of at least two frames, including the histogram of the current frame. Averages of the histograms are calculated and used to control the brightness of the back light. The averages may be weighted such that frames closer to the current frame have a larger effect.

Abstract: There is provided an image processing apparatus, an image display and an image processing method which are capable of preventing an unnatural change in image quality to image processing. A luminance distribution detecting circuit detects a luminance distribution as the histogram distribution of YUV signals. A gain calculating circuit and a gain limiter detect a gain variation on the basis of luminance distribution data. The gain limiter limits the gain variation to a gain variation threshold or less. The gain limiter and a delay circuit carry over the gain variation of a portion exceeding the gain variation threshold to the next image frame so as to modify the gain variation. A ? correction circuit performs image processing (contrast control) on the YUV signals on the basis of the gain variation modified.

Abstract: A dynamic contrast enhancement circuit (DCE circuit) includes a grayscale statistical unit, an operation unit and a transformation unit. Wherein, the grayscale statistical unit receives a frame and divides the grayscale distribution of the frame into a plurality of statistical intervals to count the number of pixels of every statistical interval and obtains a plurality of statistical values. When one of the statistical values is greater than a threshold value, the operation unit would adjust every the statistical value according to the difference value between the statistical value exceeding the threshold value and the threshold value. In this way, the transformation unit is able to produce a transformation data according to the adjusted statistical values, so as to perform a DCE processing on the frame.

Abstract: According to one embodiment of the invention, a smoothing module is configured to smooth and reduce grayscale differences in a plain area of an input digital image signal according to a collection parameter. A histogram acquisition module is configured to acquire a histogram value of the input digital image signal for one frame. A histogram value buffer module is configured to buffer histogram values for a plurality of frames. A luminance level transition detection module is configured to detect an interval during which an image gradually changes from light to dark or from dark to light, based on the histogram values for a plurality of frames, and to output the correction parameter.

Abstract: An adaptive algorithm is implemented that optimizes the slicer threshold by optimizing the tail distribution of a “+1” and “?1” histogram. Through the use of a low resolution and under-sampled ADC, a histogram of received bit may be created. The difference between the y-intersects of lines derived from the “+1” and “?1” histogram is used to determine an error function. The algorithm iteratively updates the threshold value based on this error function.

Abstract: Provided is an image sensor that can solve the limitation in expanding an output dynamic range, which is caused when a uniform gain contrast scheme is applied, and prevent the reduction of an input dynamic range, thereby stably adjusting the distribution of image brightness. The image sensor includes a contrast gain adjuster for adjusting a brightness distribution of an image detected from a pixel array by controlling a contrast gain of an inputted pixel data. The contrast gain adjuster calculates a minimum brightness value of a dark region and a maximum brightness value of a bright region from the image brightness distribution, the dark region and the bright region being divided according to a set reference value.

Abstract: A color management unit is architected to achieve higher-quality appearance used in various video formats and to enable improvements in picture contrast and colorfulness. The color management unit comprises an optional input color space converter to convert the input digital video to a desired color space, an adaptive contrast enhancer to apply contrast improvement algorithms in response to different scenes in either manual or automatic modes, intelligent color remapping for enhancing selected colors, sRGB compliance to produce a video display that is uniform over different monitors, global color and brightness controls to combine global processing and color conversion, gamut compression to maintain pixel validity in color space conversion, and gamma correction to compensate for nonlinear characteristics of an output display.

Abstract: To provide a technology for performing brightness range expansion processing suitable for a scene change when a scene change occurs. If an expansion coefficient output mode determination module 250 detects a scene change, it changes an expansion coefficient output mode from a normal mode to a scene change mode. An expansion coefficient derivation module 200 outputs an ideal expansion coefficient Gid(n) if the scene change is detected, and outputs a corrected expansion coefficient G(n) if the scene change is not detected.

Abstract: Average picture level (APL) of a display and, in examples, histogram information is used to dynamically adjust the display contrast, or “gamma”, using an exponential function. APL can also be used for DC transmission adjustment and black/white stretch.

Abstract: Systems and methods are provided for optimizing visual consistency for a dataset of images by using observed and formulated display attributes. The formulated display attributes are derived from an analysis of a first set of images from the image repository. The formulated display attributes from the first set are combined with observer's display attributes to determine scaling factors. The optimized display attributes are then derived from the calculated scaling factors for a second set of images. In another aspect, a system and method is described where a digital image is processed in order to enhance viewing of the image on a display device in accordance to the optimized attributes associated with the observer.

Abstract: In the video processing device, a correction amount update determining unit determines whether to update a correction amount based on an input image obtained from an image input unit and when a cut point is detected or when the number of frames in a number of frames storing unit exceeds a fixed value, determines that update is required, and at this time, a correction amount obtaining unit obtains a new correction amount based on the input image. Then, if no cut point is detected, an amount of change of a correction amount in time is limited and the obtained result is recorded in a correction amount storing unit, and an image correcting unit conducts quality improving correction processing with respect to the input image based on a correction amount recorded in the correction amount storing unit and the image corrected is sent to an image output unit.

Abstract: The display device including: a display panel; a backlight; a memory for converting frame rate of an input video signal and outputting a video signal; an interpolation frame generation unit for generating an interpolation frame based on the video signal output from the memory; a histogram generator for generating a histogram based on the input video signal; and a backlight brightness calculation unit for calculating a backlight control signal, the display device further comprising: wherein image data for display, which is obtained by an N-th frame of the input video signal, and image data of the interpolation frame generated based on the N-th frame and an (N+1)-th frame of the input video signal, is input to the display panel; and wherein the backlight control signal calculated based on the histogram generated based on the image data of the N-th frame is used for displaying the image data for display.

Abstract: A method of driving a liquid crystal display is provided in which the contrast can be selectively emphasized dependent upon the input data. The input data is converted into brightness components and chrominance components. The most-frequent brightness component is extracted from a histogram of the brightness components, and the histogram is divided into regions, which are re-arranged in correspondence with the extracted most-frequent value. The brightness components of each region are then modified using a curve having a slope that is dependent upon the total number of brightness components in the particular region. Data in which the contrast ratio has been selectively emphasized is generated using the modulated brightness components and the chrominance components.

Abstract: The invention is a method and apparatus for improving image-processing applications. Embodiments of the invention provide methods for preserving computation results and offer intermediary computation steps to allow the processing of images at any location to take advantage of previously processed image areas. The preferred embodiment offers a method for building a median filter that significantly improves the processing speed over basic techniques. By building a histogram hierarchy, image data statistics are added and subtracted using a multiplicity of histograms from the histogram hierarchy, where each histogram describes an image area. Furthermore, a histogram hierarchy is built using multiple layers, each layer defining a level of statistical resolution.

Abstract: An image processing apparatus includes a difference generation section and a histogram generation section. The difference generation section generates picture differences between frames of a moving picture in units of pixels, based on a present signal of the moving picture and a noise-eliminated frame-delayed signal acquired by subjecting the present signal to a process of eliminating noise and a process of delaying the present signal by one frame. The histogram generation section generates a histogram indicating a level distribution of part of the generated picture differences from which picture differences corresponding to pixels where a picture change not less than a threshold occurs are excluded.

Abstract: In a method of picture signal enhancement, a picture signal is subjected (3, 7) to a histogram-based picture signal modification based on a luminance level distribution over a whole picture or a first part of the picture, and the histogram-based picture signal modification is locally adjusted (5) in dependence on locally measured picture signal properties other than contrast and brightness, the locally measured picture signal relating to second parts of the picture that are each substantially smaller than the whole picture or the first part of the picture, the second parts being within the whole picture or the first part of the picture. Preferably, the second parts are individual pixels.

Abstract: The present invention relates to a method and corresponding system for improving the perceived visual quality of images for instance displayed on a colour 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: The embodiments disclosed herein comprise a plurality of modules and means to provide effect dynamic gamut mapping and backlight control.

Abstract: According to one embodiment, an extraction module that extracts a high frequency component of a luminance signal, an acquisition module that acquires band histogram data according to amplitude levels with respect to one frame from the high frequency component of the luminance signal, a control module that applies gain control for contour correction processing based on a gain value provided from outside to the luminance signal, and a generation module that generates a gain value to be provided to the control module on the basis of the acquired band histogram data are included.

Abstract: According to one embodiment, a video display apparatus having a smoothing processing unit inputs luminance signals of pixels which form an image, acquires histogram data by counting the numbers of pixels for respective levels of the input luminance signals, sets a correction amount for a change amount of the levels of luminance signals based on the acquired histogram data, corrects the change amount of the levels of luminance signals near a pixel to be processed based on the correction amount, and corrects the level of the input luminance signal for the pixel to be processed using the corrected change amount of the levels of luminance signals.

Abstract: An image display apparatus includes an image displaying unit that includes a light source unit and a light modulation device, a histogram generating unit, a light source luminance calculator, a function storing unit, a first evaluation value calculator, a second evaluation value calculator, a third evaluation value calculator, a function acquiring unit and a control unit. The function acquiring unit acquires a plurality of the third evaluation values by repeating processing by the first to third evaluation value calculators with modification to a level conversion function and acquires a level conversion function that has a smallest third evaluation. The control unit supplies a signal of a converted video resulting from conversion of the image with the acquired level conversion function to the light modulation device.

Abstract: Certain aspects of a method and system for inverse telecine and scene change detection of progressive video may include determining a cadence, for example, 3:2 or 2:2 pulldown, and phase of received progressive input pictures. A difference between two or more consecutive received progressive input pictures may be determined. The motion compensation of a plurality of output pictures may be controlled based on the determined cadence, phase and difference between two or more consecutive received progressive input pictures. The system may be enabled to determine repeated pictures and scene changes. The motion compensation of output pictures may be stopped during detected scene changes.

Abstract: The invention provides an image adjusting apparatus for receiving a set of input signals transmitted from a video interface, which is used for receiving a plurality of sets of input signals. The image adjusting apparatus is further used for automatically adjusting the set of input signals to generate a set of output signals. The image adjusting apparatus includes an operation module, a storage module, an offset module and a gain module. The operation module receives a test image to generate a plurality of adjusting signals. The storage module stores the adjusting signals. The offset module transforms, according to the adjusting signals, the set of input signals into a set of temporary signals. Moreover, the gain module transforms, according to the plurality of adjusting signals, the set of temporary signals into the set of output signals.

Abstract: A digital Y signal compatible with a plurality of pixels in one frame unit is divided into a plurality of signal level regions for each constant signal level range by means of a histogram generator circuit, a rate of pixels included in each signal level to all the pixels is detected, and a histogram is generated. In addition, a correction coefficient is set, and the correction coefficient is stored in a correction coefficient storage circuit. In a computing circuit, a correction value relevant to a signal level in each signal level region is calculated in accordance with the histogram and correction coefficient, and input and output characteristics of the digital Y signal are adjusted on the basis of the calculated correction value. The digital Y signal is gamma-corrected by a Y-?correcting circuit in accordance with the input and output characteristics adjusted by the computing circuit.

Abstract: The disclosed embodiments relate to a system and method for processing a video signal, comprising assigning pixels from a set of pixels to at least one of a plurality of bins based on a brightness level associated with each pixel of the set of pixels, each of the plurality of bins containing pixels having a brightness level above or below a specified value, and identifying a coarse horizon value corresponding to a first one of the bins that includes a number of pixels corresponding to a brightness level.

Abstract: A histogram equalizer and histogram equalization method is provided. A histogram equalizer, including: a memory; and an operation unit which reads first data and second data from the memory, and then overwrites the second data of the memory with a summed value, the summed value being obtained by summing the read first data and the read second data.