Abstract: When each value of luminance signals of three primary colors in the primary video signal is less than the output lower limit value, in short, when the gradation level is negative, the negative gradation level of the present primary color is, in accordance with its magnitude, in other words, in accordance with the absolute value of the negative gradation level, replaced with positive gradation levels of other two primary colors. Therefore, in accordance with A VIDEO SIGNAL CONVERTER of this invention, even when the primary video signal includes a signal value having a negative gradation level, in short, even when one or more of each signal value of RGB is below the output lower limit value, a color according to the combination of those gradation levels (a combination of each level of primary colors (RGB)) can be reproduced (displayed) by a display means.

Abstract: A video test tool for diagnosing video processing for interlacing is disclosed along with a video test tool for quantifying “jaggies” in a video display.

Abstract: A video processing circuit capable of processing a composite signal and a non-composite signal, includes: a line buffer; a frame buffer; a video decoder for decoding the composite signal by utilizing the line buffer and the frame buffer as temporary buffers of the video decoder; a cross color suppressor for performing color suppression on the non-composite signal by utilizing the line buffer and the frame buffer as temporary buffers of the cross color suppressor; and a path controller, coupled to the video decoder and the cross color suppressor, for coupling the line buffer and the frame buffer to the video decoder or the cross color suppressor when utilizing the line buffer and the frame buffer is required.

Abstract: A method and apparatus remove color noise of an image signal in which a distortion of a YCbCr color space caused by noise is corrected using correlations between color channels in the YCbCr color space of low frequency (LF) and high frequency (HF) components of an image signal while maintaining the HF component. The apparatus includes: a separator separating the image signal including a luminance signal and a chrominance signal into an LF component and an HF component; an LF noise remover removing noise of the LF component from the image signal; an HF noise remover applying a linear variation rate of the chrominance signal with regard to the luminance signal of the noiseless LF component to the HF component separated from the image signal and generating a new HF component; and a combiner combining the noiseless LF component and the new HF component.

Abstract: A device and method for reducing color noise of an image by using a distance weight depending on a distance from a central pixel for each pixel of an image and an edge weight depending on the difference in luminance and chrominance with the central pixel is provided, which can effectively reduce the color noise of the image by using the correlation between the luminance and the chrominance and edge characteristics.

Abstract: A video decoder removes noise caused by a luminance signal component when separating a chrominance signal from a composite video baseband signal. The video decoder includes a first signal generator generating a first signal, a second signal generator generating a second signal, a third signal generator differentiating the first and second signals and performing a predetermined operation on the differentiated signals to generate a third signal, an operating unit performing a predetermined operation on the third signal to output the chrominance signal, a fourth signal generator performing a predetermined operation on the first and second signals to generate a fourth signal having a value corresponding to the amplitude of the chrominance signal, and a noise removal unit correcting the chrominance signal in response to the third and fourth signals to remove luminance component noise included in the chrominance signal.

Abstract: A band processing circuit which generates image signals corresponding to different frequency bands from an image signal in which signals corresponding to different colors are arranged and which suppresses noise by synthesizing the image signals of the different frequency bands, a sampling circuit which generates image signal corresponding to the colors by sampling the image signal input from the band processing circuit in accordance with a predetermined arrangement, and a luminance/color generation circuit which generates a luminance signal in which aliasing is suppressed using an image signal output from the sampling circuit.

Abstract: An image signal is resolved into a plurality of frequency components whose spatial frequencies are different from each other; a variation component of the image signal is extracted based on each of the plurality of frequency components, an absolute value of the variation component being smaller than a predetermined reference value; a level difference amount of the image signal is calculated based on the extracted variation component; and the calculated level difference amount is subtracted from the image signal.

Abstract: A video processing apparatus includes an input unit to which a video signal containing content is input, a first detector which detects a color of light in the surroundings, a second detector which detects whether a pattern portion formed of a single color of black or white is contained in the video signal input to the input unit, a corrector which corrects the video signal input to the input unit, and a controller. The controller conducts control so that the corrector corrects the video signal input to the input unit according to the color of light detected by the first detector if the second detector detects that the pattern portion formed of the single color of black or white is contained in the video signal input to the input unit.

Abstract: A method and apparatus for improving the quality of a composite video signal and a method and apparatus for decoding the composite video signal. The method for improving the quality of the composite video signal respectively detects edges from a luminance information signal and a chrominance information signal separated from the composite video signal, detects an artifact region using the detected edges, and filters the detected artifact region. Accordingly, an artifact can be effectively removed while preserving edge information and detail information of an image to improve picture quality.

Abstract: The present invention has as an object to reduce display unevenness that occurs under the influence of a coupling between a first pixel in which a green component is displayed and a data signal line by which second pixel is driven. The present invention includes a correction process section (21) for obtaining pixel data on a second pixel in which a blue component or a red component is displayed, the second pixel being driven by a data signal line adjacent to a first pixel in which a green component is displayed, and for, if the pixel data on the second pixel represents a tone value falling within a range of 0 to a predetermined first value, correcting the tone value to be the first value.

Abstract: A CT processing unit as an example of a video signal processing apparatus includes: a CT canceling unit which calculates, for each of a first color component and a second color component of each of pixels, a crosstalk component that is produced by a first image and subtracts the crosstalk component from the corresponding one of the signal levels of the pixels of a second image, to generate a modified second image represented as a combination of a signal level of a modified first color component and a signal level of a modified second color component; and a saturation modifying unit which updates the negative signal level of the modified first color component to a value of 0 or larger from among a modified first color component and a modified second color component, and modifies the signal level of the modified second color component according to this update.

Abstract: A method for automatically detecting and suppressing cross-color and cross-luma present in a baseband component video signal includes receiving component pixel data of a current pixel, a first previous pixel and a second previous pixel. First, second and third differences are calculated based on the component pixel data of the current, first previous and second previous pixels, and the presence of cross-luma and/or cross-color is determined for the current pixel based on an absolute value of at least one of the first, the second and the third differences. A per pixel count associated with the component pixel data of the current pixel is determined based on the determined presence of at least one of cross-luma and cross-color, and the component pixel data of the current pixel is modified based on the per pixel count.

Abstract: An apparatus and method for suppressing color rolling are provided. The apparatus includes a digital signal processor which detects first motion information on a current frame and second motion information on at least one of a plurality of neighboring frames, calculates a gain based on the first and second motion information, and applies the gain to at least one channel of the current frame.

Abstract: A digital video processing apparatus and a control method thereof are provided, and include a signal receiving part for receiving a digital video signal, a decoder for separating a luminance signal from the digital video signal, and a filtering part for filtering the luminance signal separated in the decoder to substantially remove an interference signal contained in the luminance signal. Thus, the digital video processing apparatus can filter out interference signals contained in a luminance signal of a digital video signal.

Abstract: An adaptive noise reduction method is for reducing chroma noise of pixels within a frame, wherein each pixel has a chroma value and a luma value. The adaptive noise reduction method includes: de-noising the chroma values of the pixels, without de-noising the luma values of the pixels.

Abstract: A cross-color/dot interference reduction circuit according to one embodiment of the present invention includes a signal generation unit configured to calculate a difference in an input signal between adjacent frames and generate a difference signal, a component extraction unit configured to extract a cross-color/dot interference component from the difference signal, a combination output unit configured to combine an interference reduction signal corresponding to the cross-color/dot interference-component with the input signal and provide an output signal with a reduced cross-color/dot interference, an image scene analysis unit configured to analyze an image scene contained in the input signal, and a signal amplification/attenuation unit configured to amplify/attenuate the interference reduction signal based on an image scene analysis result from the image scene analysis unit.

Abstract: A projector includes: an image signal processing circuit which receives and converts a first image signal to generate a second image signal representing an image to be projected; an image distortion correction unit which corrects the second image signal in response to a correction point on a projected image being changed by an operation done by a user; and an OSD circuit which operates, in response to an image distortion correction process being selected in response to an operation done by the user, to superpose a correction pattern used to allow the user to designate the correction point on the projected image, and thus display the correction pattern and the projected image on a single screen. The OSD circuit includes a switching control unit which switches a color used to display the correction pattern when the image distortion correction process is performed.

Abstract: A method of image processing using kernel regression is provided. An image gradient is estimated from original data that is analyzed for local structures by computing a scaling parameter, a rotation parameter and an elongation parameter using singular value decomposition on local gradients of the estimated gradients locally to provide steering matrices. A steering kernel regression having steering matrices is applied to the original data to provide a reconstructed image and new image gradients. The new gradients are analyzed using singular value decomposition to provide new steering matrices. The steering kernel regression with the new steering matrices is applied to the noisy data to provide a new reconstructed image and further new gradients. The last two steps are repeated up to ten iterations to denoise the original noisy data and improve the local image structure.

Abstract: A method for processing an image in a video data is provided. The video data has a plurality of frames. The method includes: obtaining a plurality of differences, each difference in the plurality of differences being obtained from two frames that are one frame apart, wherein the each difference in the plurality of differences is between pixel information of one pixel from a plurality of pixels in one of the two frames, and a corresponding pixel in the other frame of the two frames; examining a first criterion with a summation of the plurality of differences; and performing cross color suppressing operation on a current frame of the plurality of frames according to a set of stationary image judgment information comprising the result of the first criterion examination.

Abstract: An image processing apparatus comprises an image decoding unit and a static noise reducing unit. The image decoding unit decodes a data stream and generates a plurality of image comprising a current image. The static noise reducing unit, coupled to the image decoding unit, generates a first adjustment value of a target pixel of the current image according to an original luminance value of the target pixel and at least one original luminance value of a neighboring pixel associated with the target pixel. The static noise reducing unit also determines a static adjustment luminance value of the target pixel according to the original luminance value, the first adjustment value, and a first weight. The first weight is associated with the chrominance value of the target pixel.

Abstract: An image processing apparatus of the present invention comprising (a) a first signal processing circuit for applying gamma correction to an n-bit (n: a natural number) digital signal inputted as a video signal and for converting the n-bit digital signal into an m-bit (m>n, m: a natural number) digital signal, and (b) a second signal processing circuit for adding a noise signal, which is used for pseudo contour reduction, into the m-bit digital signal from the first signal processing circuit and for outputting a Q-bit (Q: a natural number) digital signal, which is obtained from rounding off a less significant (m?Q) bit (Q?n) from the m-bit digital signal, to a display section.

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: Low frequency components are extracted from a video signal for pixels in a specific area of an image carried by the signal. The low frequency components are allocated, based on luminance components of the signal, to gradations ranging from maximum to minimum levels exhibited by the luminance components, luminance histogram data being produced indicating the frequency of gradations for the pixels. The gradations are allocated to the pixels based on the luminance components to produce high-frequency component histogram data indicating the frequency of gradations for specific pixels each carrying a high frequency component. The luminance histogram data is corrected in accordance with the frequency of gradations in the high-frequency component histogram data to produce corrected luminance histogram data. A gradation correction curve is produced for correcting the gradations exhibited by the signal using the corrected data. The luminance components are corrected based on the correction curve.

Abstract: An image processor that corrects an image signal supplied to an image display section, includes: a luminance component correction amount calculating section that calculates the amount of correction of a luminance component of the image signal according to visual environment only for an image signal in a predetermined luminance level range in a predetermined spatial frequency band; and a luminance component correcting section that corrects the luminance component of the image signal using the amount of correction calculated by the luminance component correction amount calculating section.

Abstract: The gradients of a reference image signal and suppression target image signals are respectively detected. Suppression coefficients are computed according to functions defined based on the magnitude relationship among the gradient value of the reference image signal and those of the suppression target image signals. The reference image signal is weighted according to the suppression coefficients, the weighted signals are combined with the corresponding suppression target image signals, and the combined signals are output as color component signals after color fringing suppression. Then, color fringing can be effectively corrected while suppressing correction errors.

Abstract: A method and apparatus of dejuddering image data includes receiving a video data signal that includes a plurality of successive source frames. A first source frame of the plurality of successive source frames is displayed a predetermined number of times. A first black frame is displayed, and successive source frames are displayed.

Abstract: A cross color suppressing apparatus used for suppressing the cross color of a frame is provided. The frame has several pixels, and the image data of each pixel include a luminance and a chrominance. The apparatus includes a diagonal edge detector, a cross color detector and a chrominance suppressing unit. The diagonal edge detector is used for determining whether target pixel is on a diagonal edge according to the luminance of the target pixel and that of its neighboring pixels. The cross color detector is used for determining whether the chrominance of the target pixel is substantially different from that of its neighboring pixels. If both the determination results of the diagonal edge detector and the cross color detector are true, the chrominance suppressing unit suppresses the chrominance of the target pixel and its neighboring pixels.

Abstract: A method for diffusing errors in a display device. Each frame of an input video signal is separated into at least two independent subframes. An error diffusion process is applied to each subframe of at least two independent subframes. The errors transmitted reciprocally from subframes are partially mixed, and the error diffusion process is applied to the mixed errors at each independent subframe.

Abstract: A method and system for suppressing color-crossing error in decoded video signals is presented. The color-crossing error suppression method and system uses a first suppression technique at a pixel location for a first subset of fields exhibiting color-crossing error at a pixel location then uses a second suppression technique at the pixel location for a second subset of fields exhibiting color-crossing error at the pixel location. The second subset of fields follows the first subset of fields in the video signals.

Abstract: An image processor that corrects an image signal, includes: a brightness component correction amount calculating section that calculates the amount of correction of a brightness component of the image signal only for an image signal in a predetermined brightness level range of a predetermined spatial frequency band; and a brightness component correcting section that corrects the brightness component of the image signal by using the amount of correction calculated by the brightness component correction amount calculating section.

Abstract: A method and apparatus are disclosed for reducing distortions originating from a balanced link between a video transmitter connected to a first ground and a video receiver connected to a second ground, the method comprising isolating a connection to one of the first ground and the second ground and connecting the isolated connection to the other ground via a dedicated link. In particular, there is disclosed a passive circuit enabling additional channels to become available.

Abstract: An information-processing apparatus is provided. For example, an information-processing apparatus has a noise-reduction-processing unit configured to reduce noise included in a received informational signal, an adjustment unit configured to allow a user to adjust a value of a noise reduction level in the noise-reduction-processing unit, a noise-amount-detecting unit configured to detect an amount of the noise contained in the received informational signal, and a storage control unit configured to control at least any one of an amount of noise that is detected by the noise-amount-detecting unit and paired data relative to data on a value of the noise reduction level that is adjusted by the adjustment unit and data on an amount of noise that is detected by the noise-amount-detecting unit at the adjustment by the adjustment unit.

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 of designing filters for filtering digitized images includes constructing a set of difference-of-Gaussian (DoG) filters that partition a frequency space, forming a linear combination of said DoG filters to form a trial filter, convolving said trial filter with a training image to obtain a trial image, summing a square difference of said trial image and a target image, wherein if said sum is a minimum, outputting said trial filter as a final filter, and using a singular value decomposition on said final filter wherein an eigenvector corresponding to the largest eigenvalue of the final filter is obtained.

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: A filter device comprises a digital filter, a maximum/minimum detector circuit, and a limiter circuit. The digital filter includes unit delay elements chained together and having M stages (M is an integer equal to or larger than two) for shifting an n-bit (n is a positive integer) digital input signal; n multiplier circuits for multiplying output signals from the unit delay elements at the respective stages by predetermined filter coefficients, respectively; and adder circuits chained together and having (M?1) stages for summing output signals from the respective multiplier circuits to supply a filtered output signal. The maximum/minimum detector circuit detects a maximum value detection signal and a minimum value detection signal in the output signals supplied from the unit delay elements. The limiter circuit limits a minimum value of the filtered output signal based on the maximum value detection signal, and limits a minimum value of the filtered output signal based on the minimum value detection signal.

Abstract: A method for video processing based on motion-aligned spatio-temporal steering kernel regression may include estimating local spatio-temporal steering parameters at pixels in input video data. The method may also include using the local spatio-temporal steering parameters to apply motion-aligned spatio-temporal steering kernel regression to the input video data to perform at least one of upscaling and noise smoothing.

Abstract: A method and system for detecting color-crossing error in decoded video signals is presented. The color-crossing error detection method and system detects a color-crossing pattern in a set of corresponding pixels that share a pixel location. Each pixel of the set of corresponding pixels comes from a different field of a set of fields, which includes a current field having a current pixel. The method and system determines that color-crossing error exists at the current pixel when the color-crossing pattern exists for a user configurable number of sequential fields of the same field type at the pixel location.

Abstract: An upstream video processor may perform video processing upon video data to created processed video data. The video processing may include at least one of color correction, contrast correction, gamma correction, sharpness enhancement, and edge enhancement. Metadata indicative of the performed video processing may also be generated. The processed video data and metadata may be passed to a downstream video processor, the latter for use in determining what further video processing, if any, to apply. An intermediate video processor may receive video data and metadata indicating video processing performed thereupon by an upstream video processor. Based on the received metadata, additional video processing may be performed, and new metadata indicating the additional video processing may be generated.

Abstract: A method for filtering digital video is disclosed. The method generally includes the steps of (A) checking a plurality of original blocks in an original field for a plurality of artifacts, wherein detection of the artifacts is based on an adjustable threshold, (B) first filtering each of the original blocks having at least one of the artifacts to remove the at least one artifact and (C) second filtering each of the original blocks lacking at least one of the artifacts to remove noise, wherein the second filtering is (i) motion compensated and (ii) adaptive to a respective noise level in each of the original blocks.

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: The motion detection device includes an oblique correlation detection section, a motion detection section and a motion determination section. The oblique correlation detection section detects a correlation in an oblique direction (oblique correlation) of a composite video signal. The motion detection section detects a motion amount based on an inter-frame difference of the composite video signal. The motion determination section determines the presence/absence of a motion in the composite video signal based on the motion amount detected by the motion detection section. The motion determination section determines the presence/absence of the motion considering the detection results of the oblique correlation by the oblique correlation detection section.

Abstract: The present invention provides a method, apparatus and system for the transfer of a digital video content captured by a digital motion picture camera (310) to reproducible digital imagery products such as digital dailies. In one embodiment, the present invention provides a log video signal of said digital video content using information regarding the dynamic range of at least one of said digital video content or said digital camera. Said log video signal comprises at least grey scale values of the colors of the original video content for enabling a quantitative assessment of the video content capture information for providing repeatable and reproducible values from which a cinematographer/director of photography could order the color correction or adjustment of the video content in a reproducible manner understood by a color correction specialist or “timer”.

Abstract: A method and program product for real-time correction of non-functioning pixels in digital radiography, where the method comprises: receiving a list of non-functioning pixels; determining which neighboring functioning pixels are needed to correct the non-functioning pixels; organizing those neighboring functioning pixels and corresponding non-functioning pixels into a plurality of groups by a number of pixels used to perform correction; and performing correction of data from non-functioning pixels within one of the plurality of groups and subsequently performing correction of data from non-functioning pixels within another one of the plurality of groups.

Abstract: A false-color suppression method corrects a pixel value of a pixel in a target location of a target frame while de-interlacing video data. The video data includes consecutive first, second and third fields, and the target frame corresponds to the third field. The method records an interpolation type of a first pixel with respect to the target location of a previous frame corresponding to the second field, and corrects the pixel value of the pixel in the target location of the target frame using a pixel value of a reference pixel if the interpolation type of the first pixel is an inter-field interpolation.

Abstract: A method for extending bit-depth of display systems. The method includes creating pseudo-random noise from human visual system noise. When applied to the image data, the noise causes spatiotemporal dithering. The pseudo-random noise is combined with image data, producing noise-compensated image data. The noise-compensated image data is them quantized.

Abstract: Methods and apparatuses for color denoising are described. There is provided an image processing method. The method comprises the steps of retrieving chrominance level for a plurality of pixels in a predetermined configuration; computing a weight for each pixel; applying the weight to the chrominance level for each the pixel; summing the weighted chrominance level to output a chrominance level for a centre pixel at the center of said predetermined configuration; and repeating the above steps for every pixel per image. The color noise can be reduced while preserving the edge without any edge detection.

Abstract: The structure of an image-signal processing apparatus for performing gamma correction and edge enhancement of a image signal is simplified. An edge-correction-gain generation circuit generates a gain signal according to the level of a image signal that has passed through an A-LPF on the basis of a preset transfer characteristic function. An edge-signal generation circuit generates an edge signal corresponding to the edge of the image according to the quadratic differential signal of the image signal. The edge signal is multiplied by the gain signal in a multiplying circuit. An edge-enhanced-signal generation circuit outputs it as an edge enhanced signal. The image signal is subjected to gamma correction by a gamma correction circuit in a different system from the edge-enhanced-signal generation circuit. A combining circuit combines the gamma-corrected image signal with the edge enhanced signal from the edge-enhanced-signal generation circuit.

Abstract: Systems and methods are provided for improving the visual quality of low resolution and/or low frame rate video content displayed on large-screen displays. A video format converter may be used to process a low resolution and/or low frame rate video signal from a media providing device before the video is displayed. The video format converter may detect the true resolution of the video and deinterlace the video signal accordingly. The video format converter may also determine the frame rate of a video and may increase the frame rate if the received frame rate is below a certain threshold. For videos that are also low in quality, the video format converter may reduce compression artifacts and apply techniques to enhance the appearance of the video.