Abstract: Methods (1100, 1300) and apparatuses (600, 1200) for video coding and decoding are provided. The method of video encoding includes accessing (1110) a reconstructed block corresponding to a block in a picture of a video, determining (1120) at least one filter pattern based on a property of the block and filtering (1130) the reconstructed block according to the at least one filter pattern. The method of video decoding includes accessing (1310) a reconstructed block corresponding to a block in a picture of an encoded video, determining (1320) at least one filter pattern based on a property of the block and filtering (1330) the reconstructed block according to the at least one filter pattern. A bitstream formatted to include encoded data, a computer-readable storage medium and a computer program product are also described.

Abstract: For sharpening an input image by up-converting the input image in order to increase the number of pixels of an image and generating a frequency component higher than a frequency component contained in an input image signal representing the input image, the number of multipliers is reduced, thereby achieving significant downsizing of an apparatus and cost reduction. An image processing apparatus includes a path on a base image side for up-converting the input image signal and a path on a sharpening processing side for carrying out nonlinear arithmetic processing on the input image signal. The path on the sharpening processing side includes an up-converter at a subsequent stage of at least one filter, after which the nonlinear arithmetic processing is carried out. The at least one filter may be either a two-dimensional low pass filter for noise removal or a high pass filter for removing a DC component.

Abstract: A first device captures content and streams the captured content to a second device as the first device continues to capture the content.

Abstract: A method for color grading input video data for display on a target display comprises obtaining target display metadata indicative of a capability of the target display, obtaining input video data metadata indicative of image characteristics of the input video data, automatically determining initial values for parameters of a parameterized sigmoidal transfer function, at least one of the initial values based at least in part on at least one of the target display metadata and the input video data metadata and mapping the input video data to color-graded video data according to the parameterized transfer function specified using the initial values.

Abstract: Systems and methods may provide for conducting a real-time perceptual quality analysis of a video, wherein the perceptual quality analysis includes at least one of a noise measurement, a contrast measurement and a sharpness measurement. One or more strength parameters of one or more post-processing modules in a video processing pipe may be set based on the perceptual quality analysis resulting in overall video processing that adapts to the changing perceptual quality of the input. In one example, the strength parameters include at least one of a contrast parameter and a de-noising parameter. The invention results in visually enhanced video at the output of the post-processing module.

Abstract: A video processing system includes a network processing module configured to receive video content. A decoder module is configured to decode the video content received from the content transmitting system, and separately provide each of the decoded video content and data describing transmission features of the video content. A video quality estimation module is configured to estimate a quality factor based on the data describing the transmission features of the video content, wherein the quality factor corresponds to an estimation of a visual quality of the video content. A database control module configured to select, based on the quality factor, one of a plurality of predetermined settings for video post-processing. A video post-processing module is configured to receive the decoded video content separately provided from the decoder module, and process the decoded video content based on the selected one of the predetermined settings.

Abstract: A method for detecting edges in a video field, comprising the steps of: selecting edges for a pixel of the video field; determining sum of absolute differences (“SAD”) values for the selected edges; determining inverse SAD (“ISAD”) values for the selected edges; and detecting one or more certain ones of the selected edges as a valid edge as a function of the determined SAD values and the determined ISAD values.

Abstract: Provided herein are methods and systems that provide automatic compensation for frequency attenuation of a video signal transmitted over a cable. In accordance with an embodiment, a system includes an equalizer and a compensation controller. The equalizer receives a video signal that was transmitted over a cable, provides compensation for frequency attenuation that occurred during the transmission over the cable, and outputs a compensated video signal. The compensation controller automatically adjusts the compensation provided by the equalizer based on comparisons of one or more portions of the compensated video signal to one or more reference voltage levels. One or more values indicative of one or more levels of compensation provided by the equalizer are stored in memory and/or registers for each time, of a plurality of times. A monitor monitors for changes in the cable and/or the video signal transmitted over the cable based on the stored values.

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: There are provided a signal processing apparatus and a control method thereof. The signal processing apparatus includes: a noise detecting unit which detects a signal-to-noise ratio of an input video signal; a coring unit which performs coring to remove a component of the video signal having a level within a predetermined reference range; and a control unit which adjusts the reference range of the coring unit corresponding to the detected signal-to-noise ratio and controls the coring unit to core the video signal based on the adjusted reference range.

Abstract: A method of improving an image quality of a video signal, which is supplied on a frame-by-frame basis, includes extracting low frequency components from a video signal of an n-th frame, where n is a natural number excluding zero, subtracting the extracted low frequency components from a video signal of an (n+m)th frame to produce high frequency components, where no is a natural number excluding zero, and adding the produced high frequency components to the video signal of the (n+m)th frame. The extracted low frequency components include a horizontal component and a vertical component.

Abstract: A method and system for detecting and estimating noise in a video signal. For example, detail edges may be identified in a plurality of pixels, wherein each detail edge has an edge magnitude value. The detail edges in the plurality of pixels may be identified by: determining one or more directionality values for the plurality of pixels by passing the input video signal through at least one directional filter, and identifying the detail edges by assigning edge magnitude values based on whether the one or more directionality values exceed predetermined threshold levels. An edge map of the detail edges may be created, where the edge map is configured to indicate areas of the plurality of pixels to be considered or ignored in estimating the noise in the input video signal. The noise in the input video signal may then be estimated based on the indicated areas of the edge map.

Abstract: A correlation judgment part judges a correlation direction on each pixel. In a case where a correlation direction of a specified pixel is a vertical direction and the correlation thereof is small in any other direction, it is judged that the specified pixel is a pixel on an edge in the vertical direction. Then, a noise removal filtering operation is performed on the specified pixel by using pixels on a line in the vertical direction and an edge enhancement operation is performed by using pixels on a line in a horizontal direction.

Abstract: A method of noise filtering of a digital video sequence to reduce ghosting artifacts, the method including computing motion values for pixels in a frame of the digital video sequence based on a reference frame, computing blending factors for the pixels based on the motion values, generating filtered output pixel values by applying the blending factors to corresponding pixel values in the reference frame and the frame, wherein selected filtered output pixel values are converged toward corresponding pixel values in the frame to reduce ghosting artifacts, and outputting the filtered frame.

Abstract: An image interpolation apparatus includes an extracting unit, temporal interpolation calculators, pattern matching units, and an output unit. The extracting unit extracts pixels around the missing pixels in order to form a basic frame and comparative frames. Each temporal interpolation calculator corresponds to each comparative frame, and calculates a temporal interpolated pixel for each comparative frame based on signal levels and variation of the signal levels. Each pattern matching unit corresponds to each comparative frame, inserts the temporal interpolated pixel of each comparative frame to the missing pixel, calculates difference of between each of the pixels in the basic frame and each of the corresponding pixels in the comparative frame, and sums up the differences for all pixels in absolute value to obtain sums for all comparative frames respectively. The output unit outputs the temporal interpolated pixel having a minimum sum among the sums as a final interpolated pixel.

Abstract: In at least one embodiment of the present invention, quality of image is improved by sufficiently sharpening the image through an appropriate high-frequency compensation with a simple arrangement, not only for still images but also for moving images and even if the images have already undergone image enlarging processes. In at least one embodiment, an HPF extracts high-frequency components from an input image signal. A square operator generates a squared signal by squaring the first signal. A first differentiator generates a first differentiation signal by differentiating the squared signal. The second differentiator generates a second differentiation signal by differentiating the input image signal. A multiplier generates a second signal by multiplying the first differentiation signal by the second differentiation signal. An adder generates an output image signal by adding the second signal to the input image signal, as a compensation signal.

Abstract: A Gaussian filter 2 having a first cutoff frequency extracts a low frequency component signal of a video signal. A subtracter 3 extracts a high frequency component signal by subtracting the low frequency component signal from the video signal. A low pass filter 5 having a second cutoff frequency higher than the first cutoff frequency extracts a lower high frequency component signal, which is a low-frequency-side signal of the high frequency component signal. A multiplier 6 generates a corrected component signal by multiplying the lower high frequency component signal by a predetermined gain G1. An adder 7 adds the corrected component signal to the video signal.

Abstract: An image quality adjusting circuit in an image processing apparatus is provided with a line memory unit, a delay circuit unit, a first to fourth filter processing circuits, and an adder. In the delay circuit unit, delay circuits are arranged in a matrix form. Delay circuits arranged in a horizontal direction receive an image data directly or via line memories. The image quality adjusting circuit each perform filter processing on the received image data signals lying in a horizontal direction, in a vertical direction, in a down-right direction, and in a down-left direction. The image quality adjusting circuit performs addition of the image data on a focus pixel and the filter-processed data, and thus performs edge correction processing.

Abstract: An image processing device, method, an image display device and method which can obtain a high-definition display image by properly controlling processing of reducing the blur of a displayed image caused by the time integration effect of an image sensor. The image display device comprises a motion detection part (1) which detects the moving amount of an input image signal, and an edge emphasis part (2) which subjects the input image signal to edge emphasis processing, and the image display device increases an edge emphasis degree of edge emphasis processing to an area where the moving amount of the input image signal is large.

Abstract: In an image processing apparatus, a min-max pixel difference value computing unit computes the difference between the maximum and minimum pixel values in a first image portion including a target pixel and neighbor pixels. A maximum adjacent pixel difference value computing unit computes the maximum value among the difference values between adjacent pixels in the first image portion. An image change feature value computing unit computes a feature value corresponding to the suddenness of image change in the first image portion. A filter coefficient computing unit computes filter coefficients. A sharpen filter accepts, as input, pixels forming a second image portion including the same target pixel as the first image portion and neighbor pixels, and computes an output pixel value for the target pixel.

Abstract: A noise removing filter removes noise from an input image and an edge component extracting unit extracts edge components. The edge components are extracted by calculating a difference between the input image and a smoothed image, which is obtained by smoothing the input image in a smoothed image generating portion. An edge component comparing unit compares the extracted edge components with a threshold value and a sum calculating unit calculates the sum of the edge components greater than the threshold value. A control circuit determines the enhancement degree of the edges based on the sum and averaged luminance of the input image calculated by an average luminance calculating unit. An enhancement degree adjustment unit adjusts the determined enhancement degree, and an edge component enhancement unit enhances the edge components based on this enhancement degree and adds it to the input image to perform edge enhancement processing.

Abstract: An image noise detection method is disclosed. The image noise detection method includes the following steps: obtaining a spatial information of an image; obtaining a temporal information of the image; and determining a spatial noise or a temporal noise of the image according to both the spatial information, and the temporal information.

Abstract: The present invention discloses a method and a device for image sharpness adjustment. The device comprises a color analyzer, a color sharpness setting unit, a computing circuit, and a luminance adjusting unit. The color analyzer is for analyzing an input color signal to generate a plurality of color flags. The color sharpness setting unit is for generating a plurality of first sharpness gains according to the plurality of the color flags. The computing circuit is for generating a second sharpness gain according to the plurality of the first sharpness gains and the input color signal. The luminance adjusting unit is for adjusting a luminance signal according to the second sharpness gain.

Abstract: A video signal processing apparatus includes: a gain inverse correction means for giving an inverse correction gain resulting in an inverse correction characteristic to a gain to a video signal subjected to automatic gain control and outputting the video signal; a texture component removing means for removing a texture component from the video signal output from the gain inverse correction means; a gain inverse-inverse correction means for giving an inverse-inverse correction gain to the video signal output from the texture component removing means; a texture component extracting means for extracting a texture component signal, utilizing the video signal output by the gain inverse correction means and the video signal output by the texture component removing means; and a signal synthesizing means for synthesizing a structure component signal based on the video signal output by the gain inverse-inverse correction means and the texture component signal to output a video signal.

Abstract: A method and system for detecting and estimating noise in a video signal. For example, with a video signal containing low power Gaussian noise, identifying a low-activity region in the input video signal, in which the pixels in the identified region have magnitude values within a range, and creating a histogram from the pixels in the identified region. Once a minimum number of pixels have been sorted into the histogram, estimating the standard deviation on the magnitude values of the pixels to estimate the noise that should be removed from the signal. An edge map or a binary map indicating pixels for inclusion in the estimation may be used to aid in the detection of low-activity regions of the input video signal.

Abstract: The present invention relates to a video picture display method that aims to reduce the effects of blurring and multiple contours when the picture display frequency is doubled. According to the invention, for each source video picture, a video level dissymmetry is created between the two pictures from the source video picture after doubling the frequency in the areas in motion of the source video picture.

Abstract: In a de-ring system for reducing the overshooting and undershooting of a video signal after scaling on the horizontal and the vertical direction in a scaler, a region judgment device receives the video signal and detects the attributes of the region in the video signal. When the region in the video signal is an edge and flat area, the de-ring system adjusts the weighting coefficient to increase the low frequency components for reducing the overshooting and undershooting of the video signal. When the region in the video signal is neither an edge nor an edge and flat area, the de-ring system adjusts the weighting coefficient to increase the high frequency components for preserving the high frequency components of the video signal, so as to dramatically reduce the overshooting and undershooting of a video signal.

Abstract: According to one embodiment, an input image signal is passed through a plurality of first high pass filters having different passing frequency band to generate level histograms. High frequency component noise reduction processing is applied to the output of one of the first high pass filters selected based on one of the generated histograms that satisfies a predetermined threshold, low frequency component noise reduction processing is applied to a result obtained by subtracting the output of the selected first high pass filter from the input image signal, and outputs obtained by both the noise reduction processing are added.

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: Flicker occurs in a flicker-noticeable area consisting of pixels with no pixel value variations. An image processing device (100) includes a variance calculation unit (101) that obtains a variance of an area consisting of a target pixel and neighboring pixels included in a first frame, and changes, according to the variance, the rate at which an error generated at the target pixel through tone level restriction is distributed within the frame and between frames. The image processing device (100) includes an error diffusion unit (113) that distributes the error generated at the target pixel to the neighboring pixels included in the first frame based on an intra-frame error diffusion rate and an intra-frame error distribution weight, and distributes the error generated at the target pixel to a target pixel and neighboring pixels included in the second frame based on an inter-frame error diffusion rate and an inter-frame error distribution weight.

Abstract: In at least one embodiment of the present invention, quality of image is improved by sufficiently sharpening the image through an appropriate high-frequency compensation with a simple arrangement, not only for still images but also for moving images and even if the images have already undergone image enlarging processes. In at least one embodiment, an HPF extracts high-frequency components from an input image signal. A square operator generates a squared signal by squaring the first signal. A first differentiator generates a first differentiation signal by differentiating the squared signal. The second differentiator generates a second differentiation signal by differentiating the input image signal. A multiplier generates a second signal by multiplying the first differentiation signal by the second differentiation signal. An adder generates an output image signal by adding the second signal to the input image signal, as a compensation signal.

Abstract: An image processing apparatus includes a non-linear smoother for smoothing input video data with an edge component thereof preserved, and outputting smoothed video data, a subtractor for subtracting the smoothed video data from the input video data and outputting high-frequency component video data not containing the edge component, an outline extractor for extracting the edge component from the smoothed video data and outputting edge component video data, a first amplifier for varying a signal level of the edge component video data, a second amplifier for varying a signal level of the high-frequency component video data not containing the edge component, and an adder for adding video data output from the first amplifier and video data output from the second amplifier to one of the smoothed video data and the input video data.

Abstract: A method of improving picture quality in a composite video burst signal includes dividing the composite video burst signal into a plurality of frequency bands using a low pass filter and a high pass filter, performing wavelet packet filtering of frequency bands including a chrominance signal having energy higher than a specified threshold among the plurality of frequency bands, and performing Wiener filtering of frequency bands including a chrominance signal having energy lower than a specified threshold.

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: A display apparatus including an image receiver receiving an image signal and a display displaying the image signal. The display apparatus includes a user selector, an image signal processor to process at least one image delay decrease mode to decrease a processing time of the image signal and a controller to control the image signal processor to process the image signal according to the selected image delay decrease mode if an image delay decrease mode is selected through the user selector.

Abstract: An apparatus comprising a first circuit and a second circuit. The first circuit may be configured to determine frequency of occurrence information for a range of gray levels from luminance data of an input signal. The second circuit may be configured to selectively adjust enhancement for at least one portion of the range of grey levels based upon the frequency of occurrence information.

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

Abstract: A video signal processing apparatus and video processing method are provided, which can reduce an influence of noise and enhance fineness of the image. A signal division unit divides a video signal into a low frequency component and a high frequency component of the video signal. A signal eliminating unit eliminates a component within a magnitude range of noise from the high frequency component of the video signal output from the signal division unit. A signal combining unit combines the low frequency component of the video signal output from the signal division unit and the high frequency component of the video signal from which the component within the magnitude range of noise is eliminated.

Abstract: A video noise reducer reduces the noise artifacts in a video signal. The video noise reducer is reconfigurable to provide spatial noise reduction and temporal noise reduction in either a parallel or cascade architecture. The video noise reducer is self-calibrating by providing estimation modules that estimate the amount of noise in the video signal and a noise injector that confirms the measurement against a known quantity of noise. The video noise reducer is adaptive to solutions in hardware or a combination of hardware and firmware. The video noise reducer is also optimized for efficient memory usage in interlaced video signal processing applications.

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: Provided is an image processing apparatus and method for preventing degradation of image quality occurring when a bit-format of an image is converted. When a raw image is converted to an image having specific color resolution, the image to be converted can maintain an image close to the raw image by obtaining errors between pixels of the raw image and the image to be converted and minimizing the errors between the raw image and the image to be converted using an error diffusion scheme.

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: According to one embodiment, an MPEG noise reduction processing unit which performs a process of reducing a mosquito noise to a received video signal can be controlled in a setting state corresponding to a desired item selected on the setting screen in which the plural items to be set are displayed as an option.

Abstract: In each of stages of a nonlinear filter, a successively determined target signal and plural adjacent signals are weighted-averaged with plural sets of different coefficients to calculate plural smoothed signals. Differences in level between the target signal and each of adjacent signals and signals arranged within the predetermined interval from the each of the adjacent signals are compared with a threshold value. According to the comparison, flags are set to the adjacent signal, to an adjacent signal arranged at a symmetrical position, and to adjacent signals arranged beyond the adjacent signals. The intervals of adjacent signals are different among stages. The target signal in level is used instead of the adjacent signals with smoothed signals, which are selected according to the flags. Weighting coefficients may be calculated on the basis of the comparison result, and smoothed signals may be synthesized according to the weighting coefficients.

Abstract: The present invention relates to a video picture display method that aims to reduce the effects of blurring and multiple contours when the picture display frequency is doubled. According to the invention, for each source video picture, a video level dissymmetry is created between the two pictures from the source video picture after doubling the frequency in the areas in motion of the source video picture.

Abstract: A system to reduce noise includes a noise measurement device that provides a measure of noise associated with a digital input video signal. A noise reduction filter provides a noise-reduced digital output video signal corresponding to the luma and chroma of the digital input video signal. The noise reduction filter has a parameter that varies on a pixel basis for the component of the digital input video signal as a function of the measure of noise. The range and sensitivity of the noise reduction can be user programmable.

Abstract: There are provided a signal processing apparatus and a control method thereof. The signal processing apparatus includes: a noise detecting unit which detects a signal-to-noise ratio of an input video signal; a coring unit which performs coring to remove a component of the video signal having a level within a predetermined reference range; and a control unit which adjusts the reference range of the coring unit corresponding to the detected signal-to-noise ratio and controls the coring unit to core the video signal based on the adjusted reference range.

Abstract: The invention relates to a device for reducing flicker disturbances in a video signal having a temporal median filter and a filter connected downstream. The temporal median filter serves for compensating for brightness fluctuations in the video signal. The filter connected downstream separates high-frequency signal components from the output signal of the temporal median filter and suppresses high-frequency signal components with a high amplitude.

Abstract: With the present invention, data continuity is used at the time of converting an input image into high-quality image data with higher quality than the input image data, to obtain processing results which are more accurate and have higher precision. A class tap extracting unit (902) and prediction tap extracting unit (906) extract a class tap and prediction tap based on data continuity of multiple perimeter pixels corresponding to a pixel of interest in the input image, detected by a data continuity detecting unit (901).

Abstract: A dodging process which brightens a dark portion sometimes makes noise components contained in an image obtained by an image sensor conspicuous. A gray image generator extracts a luminance component Y of an image, an unsharp image generator generates an unsharp image L on the basis of the luminance component Y, a correction coefficient calculator calculates a correction coefficient g for correcting a brightness difference of the image in accordance with the unsharp image L, a corrector performs a dodging process in accordance with the correction coefficient g, and a noise eliminator eliminates noise of the image in accordance with the correction coefficient g.