Abstract: Various embodiments of a method, system and computer program product for correcting distortions in a multimedia content comprising a set of temporal images are disclosed. Each image of the set of temporal images is decomposed into patches. Thereafter, each set of temporal patches is parsed hierarchically to obtain a set of background components and one or more moving objects. Thereafter, the set of background components and the one or more moving objects are aggregated to reconstruct the multimedia content.

Abstract: Techniques are disclosed to process certain information contained in a digital video signal. In particular, a time-varying signal present in the digit video signal may be supplanted with a replacement time-varying signal, negated, or obfuscated with a noise signal. Negation of the time-varying signal may include extracting said time-varying signal from the digital video signal, inverting the time-varying signal, and adding the inverted time-varying signal to the original digital video signal. Obfuscation of the time-varying signal may be accomplished by introducing a suitable noise signal to the original digital video signal. Supplanting the time-varying signal with a replacement signal may include negating the time-varying signal and introducing a desired replacement signal to the digital video signal.

Abstract: There is provided a receiving apparatus including at least one divider configured to divide a high-frequency signal received by an antenna, a high-frequency processing unit configured to output a reception signal obtained by mixing the high-frequency signal divided by the divider and a local oscillation frequency generated by a local oscillator that includes a voltage-controlled oscillator, and a control unit configured to execute voltage-controlled oscillator optimization for searching for a relationship between a control voltage applied to the voltage-controlled oscillator and a local oscillation frequency of the voltage-controlled oscillator, and increase a clock frequency speed when executing the optimization of the voltage-controlled oscillator.

Abstract: An imaging device, an image system and an imaging method in which proper image correction processing is carried out on a video signal are provided. An imaging device includes: a video signal input unit which inputs a video signal; and an image processing unit to which the video signal is inputted and which carries out correction of the video signal and outputs a corrected video signal. The image processing unit includes a histogram detection unit which divides an image area termed by the acquired video signal into plural areas, acquires a per-area histogram that is a histogram or the video signal in each of the plural areas, and finds per-area histogram data for each area based on the per-area histogram. The image processing unit carries out correction of the video signal based on a cumulative value of the per-area histogram data.

Abstract: An image processing circuit and a method thereof are provided herein. The image processing circuit has a first scaling circuit, one or more line buffers, a first sharpness circuit, a second scaling circuit, and a second sharpness circuit. The first scaling circuit enlarges an input image along a first direction to generate a first enlarged image. The one or more line buffers temporarily store the pixel values of a plurality of pixel rows of the first enlarged image. The first sharpness circuit vertically sharpens the first enlarged image to generate a first sharpened image. The second scaling circuit enlarges the first sharpened image along a second direction to generate a second enlarged image. The second sharpness circuit horizontally sharpens the second enlarged image to generate a second sharpened image. Accordingly, it is possible to use the one or more line buffers having shorter data lengths to perform the vertical sharpening.

Abstract: A noise reduction apparatus for digital cameras is presented that includes groups of one or more connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these filter unit groups serves as one of a plurality of inputs to another filter unit group driven at a different decimation level. Filtered image data from one or more filter unit groups is adaptively combined in response to one or more image metrics related to one or more local regional image characteristics.

Abstract: In an interlaced image processing method for processing fields generated by interlacing and including a plurality of rows of scan signals, the method includes: performing horizontal line detection on a current field so as to determine which of the rows of the scan signals is a horizontal line; according to the horizontal line detection result of the current field and a horizontal line detection result of a previous field, adjusting position of the horizontal line in the current field so as to approach position of a corresponding horizontal line in the previous field; and according to the result of position adjustment, re-sampling the current field. An interlaced image processing apparatus for implementing the method is also disclosed.

Abstract: The invention relates to a receiving device for an audio-video system. The receiving device comprises a connector, a video processing unit, an audio processing module, and a monitoring unit. The monitoring unit detects a status of an inputted signal received by the connector and controls the operation of at lease one of the video processing unit and the audio processing module in accordance with the detected result to avoid the audio-video system display abnormal image or play noise when the receiving device did not receive the inputted signal by accident.

Abstract: A method and apparatus is provided for reconstructing video frames that include missing pixels as a result of video stabilization techniques to compensate for camera movement and/or zooming. In one example, the method and apparatus caches transformed frames of video, identifies coordinates of missing pixels in a current transformed frame, and sequentially processes, for only the missing pixel coordinates, the cached transformed frames in reverse chronological order to identify pixels at coordinates in the cached transformed frames having valid data and corresponding to one of the missing pixel coordinates. Upon identifying a pixel having valid data at a coordinate in a cached transformed frame corresponding to a missing pixel coordinate, the method and apparatus inserts the valid data at the missing pixel coordinate.

Abstract: Systems and methods for detecting chroma dropout errors in one or more fields associated with various video frames are provided. Pixels associated with a current field are divided into a set of pixel pairs. Co-occurrences matrices are calculated for previous and subsequent fields. A first pixel pair associated with the current field is selected. First and second set of entries are selected from the co-occurrence matrices corresponding to the previous and subsequent fields. The first pixel pair is searched in the first and second set of entries. An absence of the first pixel pair in the first and second set of entries satisfies a first criterion of chroma dropout error. Other criteria in addition to the first criterion are evaluated to label the first pixel pair as erroneous.

Abstract: A method for displaying a video which is dithered using related masks and a video display apparatus applying the same, the video display apparatus dithering a video signal using a first mask, performing color-processing with respect to the video signal, and dithering the color-processed video signal using a second mask which is related to the first mask. Accordingly, dithering is performed using related masks, thus preventing poor gradation of video signal.

Abstract: An imaging device is provided that comprises a movement detection component configured to detect movement of the imaging device based on a force imparted to the imaging device, an imaging component configured to produce image data by capturing a subject image, a movement vector detection component configured to detect a movement vector based on a plurality of sets of image data produced by the imaging component, and a three-dimensional NR component configured to reduce a noise included in first image data produced by the imaging component, based on second image data produced earlier than the first image data, wherein the three-dimensional NR component is configured to decide whether to correct the second image data in response to the detection result of the movement vector detection component, based on both the detection result of the movement detection component and the detection result of the movement vector detection component.

Abstract: A first quantization unit quantizes data of each pixel constituting a first frame data by a first logical formula to generate a second frame data with a predetermined number of lower bits deleted. A delay memory temporarily holds the second frame data and outputs third frame data. Interpolation unit generates interpolated frame data located between adjacent frames in the second frame data by using the second frame data and the third frame data. A second quantization unit quantizes data of each pixel constituting the first frame data by a second logical formula different from the first logical formula to generate a fourth frame data with a predetermined number of lower bits deleted. A frame memory temporarily holds the fourth frame data and the interpolated frame data, and outputs the fourth frame data and the interpolated frame data alternately at a second frame rate higher than the first frame rate.

Abstract: Method and apparatus for reducing random noise in digital video streams are described. In one innovative aspect, a device for reducing noise of a video stream is provided. The device includes a ringing noise detector configured to identify ringing noise in an image included in the video stream. The device further includes a block detector configured to identify a block pattern in the image included in the video stream, the block detector configured to identify block patterns of a predetermined size and block patterns of an arbitrary size. The device also includes a noise reducer configured to filter the image based on the identified ringing noise and the block pattern.

Abstract: A method and system for real time luminance correction and detail enhancement of a video image including the steps of extracting a luminance component from a video image, separating the luminance component into an illumination layer and a scene reflectivity layer, the illumination layer having a dynamic range, compressing the dynamic range of the illumination layer to generate a corrected illumination layer, filtering the reflectivity layer to generate an enhanced reflectivity layer; and combining the corrected illumination layer with the enhanced scene reflectivity layer to generate an enhanced luminance image, is provided. A system for real time luminance correction and detail enhancement of a video image is also provided.

Abstract: An information processing apparatus includes a display control section that performs display control of a first operation screen for performing first operation and a second operation screen for performing second operation. The information processing apparatus also includes a control section that performs control of terminating the first operation screen or making the first operation screen invisible based on information as to whether or not the user needs to authenticate display of the first operation screen or display of the second operation screen when the second operation screen is displayed in a state in which the first operation screen is displayed.

Abstract: An apparatus for processing images of a display includes an image sequence receiving module adapted to receive a first sequence of images of the display. The first sequence of images includes at least one image corrupted due to partial refreshing of the display. The apparatus also includes an image processing module operable to process the first sequence of images on an image by image basis to eliminate the at least one corrupted image from at least one of the first sequence of images and a second sequence of images captured subsequent to the first sequence of images.

Abstract: A system includes a data storage configured to store a model human visual system, an input module configured to receive an original picture in a video sequence and to receive a reference picture, and a processor. The processor is configured to create a pixel map of the original picture using the model human visual system. A first layer is determined from the pixel map. A weighting map is determined from a motion compensated difference between the original picture and the reference picture. A processed picture is then determined from the original picture using the weighting map and the first layer.

Abstract: An image sharpness device and a method for the same are disclosed. The image sharpness device includes a DC removal unit, at least one filter, at least one noise estimation unit, at least one soft threshold processing unit, and a summing unit. The DC removal unit receives a luminance signal of a field of a frame and removes a DC component of the luminance signal. The filter passes a component of an output of the DC removal unit within a predetermined frequency band. The noise estimation unit estimates a noise value of the field. The soft threshold processing unit forms a sharpness signal according to the noise value. The summing unit sums the luminance signal and the sharpness signal to output a resultant luminance signal. The present invention is capable of avoiding the problem that a noise in the luminance signal is enhanced.

Abstract: A method to correct for temporal variability in incoming streams of media and data to optimize the performance of a pattern recognition system includes the steps of receiving from one of the incoming streams a point in time when an event is announced, applying a probability distribution about the point in time, shifting a point of highest probability of the probability distribution back in time by an amount effective to accommodate for a delay between the event and the announcement, comparing a detected pattern of the event to a stored pattern of similar events and applying a confidence value to the comparison, and confirming to the pattern recognition system that the event occurred at the point of highest probability when the confidence score exceeds a predefined threshold. The method is useful to determine the time at which a particular play occurs during a sporting event, such as the time of a shot-on-goal in a soccer match.

Abstract: A single-ended blur detection probe and method with a local sharpness map for analyzing a video image sequence uses two sets of edge filters, one for “fast edges” and the other for “slow edges.” Each set of edge filters includes a horizontal bandpass filter, a vertical bandpass filter and a pair of orthogonal diagonal filters where the frequency response of the fast edge filters overlap the frequency response of the slow edge filters. The video image sequence is input to each filter of each set, and the output absolute values are combined with weighting factors to produce a slow edge weighted sum array and a fast edge weighted sum arra. The respective weighted sum arrays are then decimated to produce a slow edge decimated array and a fast edge decimated array.

Abstract: In order to distribute low-frequency component image data L in image data for one frame to first and second sub-frames respectively as L1 and L2, a distribution of L2 in the low-frequency component image data L is decided. This decision is made based on a non-linear curve, so that when the low-frequency component image data L falls within a low-level region, a distribution rate of L2 is decreased, and when the low-frequency component image data L falls within a high-level region, the distribution rate of L2 is increased within a range that does not exceed 0.5. In this way, a negative-side clipping phenomenon of high-frequency components is suppressed in the low-level region, and flickers are suppressed in the high-level region.

Abstract: Some embodiments allow a video editor to remove unwanted camera motion from a sequence of video images (e.g., video frames). Some embodiments are implemented in a video editing application. Some of these embodiments distinguish unwanted camera motion from the intended underlying motion of a camera (e.g., panning and zooming) and/or motion of objects within the video sequence.

Abstract: A noise elimination method of an image sequence is described. During a color separation of a raw image data captured by an image capturing element, 3D filtering is integrated. First, the raw image data is converted into a gray-scaled full luma image, an interframe filtering process is performed to eliminate possible noises in the gray-scaled full luma image, and an interpolation process is performed with the raw image data. During the implementation, an adaptive frame average filtering process is also performed to obtain a preferred image filtering result through an appropriate filtering manner. Therefore, an adaptive interframe interpolation for eliminating noises is to prevent noises or artifacts generated by the noises from affecting the subsequent image processing.

Abstract: HDMI is a digital audio and video communications protocol commonly used in consumer electronics. HDMI is particularly synonymous with high fidelity audio and video. Even though HDMI is a digital communications protocol, the audio quality can be impaired by analog signal impairments and distortions even if there are no digital decoding errors. In particular, the very process by which the audio is converted from Digital (HDMI) to human audible “Analog Audio” can be prone to errors. This occurs when the Digital to Analog Converter (DAC) clock, which is derived from the HDMI TMDS clock or HDMI source, is “distorted” due to its jitter, resulting in erroneous sampling or outputting of vital audio samples, thereby reducing the audio quality of the experience. The present invention reduces the jitter on the TMDS clock, and hence the audio DAC clock, resulting in lower audio distortion.

Abstract: In one aspect, the present disclosure relates to a method for removing noise from a digital video sequence containing a modulated light signal emitted from a beacon light source. In some embodiments, the method includes electronically receiving, by an image sensor of a device, a digital video sequence of a scene, calculating noise from the digital video sequence, wherein the noise comprises information within the digital video sequence corresponding to the un-modulated illumination of the scene, reducing the noise from the digital video sequence to obtain an isolated digital video sequence of the modulated illumination of the scene, and demodulating the emitted light signal from the isolated digital video sequence.

Abstract: An image displaying apparatus and an image processing apparatus are provided. The image displaying apparatus comprises a signal receiver unit, a signal processor unit, a display unit, a signal output unit, and a control unit. The signal receiver unit receives a broadcast signal or a signal provided from a signal source. The signal processor unit processes the received signal. The display unit displays the processed signal. The signal output unit comprises an output terminal configured to output the received signal, and a signal converter configured to convert the processed signal. The control unit controls the signal, provided from the signal receiver unit, to be outputted to the external device by using the signal output unit.

Abstract: A computer implemented method and system for capturing events of interest by performing a spatio-temporal analysis of a video are provided. A continuous video stream containing a series of image frames is acquired over time. Each of the image frames is represented by horizontal spatial coordinates and vertical spatial coordinates of a two dimensional plane. A temporal dimension is assigned across the image frames of the video stream. A spatio-temporal analysis image is constructed based on a user-defined line of analysis on each of one or more of the image frames. The spatio-temporal analysis image is constructed by concatenating a series of temporally-successive linear pixel arrays along the temporal dimension. Each of the linear pixel arrays comprises an array of pixels along the line of analysis defined on each of one or more of the image frames. The constructed spatio-temporal analysis image is segmented for capturing the events of interest.

Abstract: In one system embodiment, an overlapped block processing module configured to provide three-dimensional (3D) denoising of plural frames corresponding to a raw video sequence; and a frame alignment module configured to represent the raw video sequence with motion compensated frames corresponding to the raw video sequence, the motion compensated frames consisting of the plural frames and fewer in quantity than the quantity of frames of the raw video sequence, the plural frames based on prior temporally matched frames corresponding to the raw video sequence.

Abstract: A video display apparatus includes a video display unit configured to display a video image, a viewer detection unit configured to detect a position of a viewer, a moving speed measurement unit configured to measure a moving speed of the viewer, a display area determination unit configured to determine, based on the position and moving speed of the viewer, a video display area where the video image is displayed on the video display unit, and a video control unit configured to display the video image in the video display area determined by the display area determination unit.

Abstract: An image signal processing apparatus that performs a noise reduction process on an image signal of an image captured by an imaging device is provided. By performing a first smoothing process on an input signal of an image signal that is received from an imaging unit and that is subjected to a first image processing, a first smoothed signal creating unit creates a first smoothed signal in which noise is reduced. By performing a second smoothing process that is different from the first smoothing process on the input signal, the second smoothed signal creating unit creates a second smoothed signal in which noise is reduced. A mixing processing unit mixes the first smoothed signal and the second smoothed signal in accordance with a mixing ratio according to a value of the input signal.

Abstract: Various embodiments of the present disclosure provide techniques for performing video denoising (VDN). An adaptive noise threshold is dynamically determined and used to distinguish between frame to frame differences in pixel values that relate to image motion from those differences that relate to noise. The disclosed techniques enable the noise threshold to be continuously updated, for example as frequently as once per frame, so that the noise threshold may closely track to varying levels of noise in the input video data. The techniques may be implemented in, for example, a video format conversion apparatus. Advantageously, the techniques may be incorporated in programmable logic devices (PLD's) or Field Programmable Gate Arrays (FPGA's) configurable to perform video format conversion, while adding only modest additional computational demands on the apparatus.

Abstract: An image processing apparatus according to the present invention, comprises: a motion detection unit that detects a motion vector from an input image; a determination unit that determines whether an image is moving in each pixel in use of the detected motion vector, and determines whether a motion pixel, about which determination has been made that the image is moving therein, exists in a predetermined range from a still pixel about which determination has been made that the image is not moving therein; and a correction unit that performs correction processing to decrease at least one of high frequency components, contrast, and luminance for the still pixel about which determination has been made that a motion pixel exists in the predetermined range.

Abstract: A method to enhance detail of an image based on noise elimination includes calculating a noise weight corresponding to a probability that a center pixel, located in a block of pixels of a region of the image, is noise by using a difference between the center pixel and a surrounding pixel located in the block of pixels, calculating a first substitution value for the center pixel based on the noise weight; and calculating a second substitution value for the center pixel by using the noise weight and a sharpen filter.

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 for determining a quotient value from a dividend value and a divisor value in a digital processing circuit is provided. The method includes computing a reciprocal value of the divisor value and multiplying the reciprocal value by the dividend value to obtain a reciprocal product, the reciprocal product having an integer part. The method also includes computing an intermediate remainder value by computing a product of the integer part and the divisor value, and subtracting the resulting product from the dividend value and determining the quotient value based upon the intermediate remainder value.

Abstract: According to the present invention, there is provided an image display device for displaying acquired image information including: an information acquisition section for acquiring image information and information associated with the image information by communication from an external device; an adjustment section for executing image quality adjustment processing in relation to display of the image information; and a setting section for setting details of the image quality adjustment processing, based on the information. Therefore, details of the image quality adjustment processing may easily be set automatically in an appropriate manner.

Abstract: A signal processing device (201) includes noise reduction units (101), cascade-connected to each other, each of which includes: a signal selection section (31) for selecting a representative value from sampled signals obtained from an input signal by sampling a target signal and signals which are away from the target signal by given intervals; a voltage determination section (51) for determining which of a determined representative value and a voltage of the target signal is larger; and a signal output section (61) for increasing or decreasing the voltage of the target signal depending on a result of the determining and outputs the target signal as the output signal. A combination of intervals between the target signal and the signals excluding the target signal vary from noise reduction unit (101) to noise reduction unit (101). A noise reduction unit on a more upstream side has a larger maximum value of the intervals.

Abstract: A video signal processing apparatus for processing a video signal comprises a receive unit (101, 103, 105) which receives the video signal comprising a sequence of pictures. A processing unit (107) applies a picture noise changing algorithm to the sequence of pictures and a variation unit (113) varies a spatial noise reduction setting for the picture noise changing algorithm between at least some consecutive pictures of the sequence of pictures in response to a predetermined variation rule. Specifically a set of picture manipulation processes (203, 205) with different spatial noise reduction characteristics may be provided and the variation unit (113) may select different picture manipulation processes in consecutive pictures. The approach may introduce high frequency noise flickering which is less perceptible to a viewer thereby reducing the perceived noise.

Abstract: A television receiver for receiving TV signals when unknown interference is present in a predetermined bandwidth in which the TV signals are transmitted. The TV receiver comprises an input, a tuner, a configurable filter and a controller circuitry. The input receives a radio frequency (RF) signal comprising the terrestrial TV signals. The tuner is configured to detect the terrestrial TV signals, where the terrestrial TV signals include a plurality of frequency channels within a predetermined bandwidth and the plurality of frequency channels provide TV signals which communicate TV channels. The configurable filter is configurable to suppress signals received from one or more of the plurality of frequency channels within the predetermined bandwidth.

Abstract: Embodiments for video content source resolution detection are provided. Embodiments enable systems and methods that measure video content source resolution and that provide image-by-image source scale factor measurements to picture quality (PQ) processing modules. With the source scale factor information, PQ processing modules can be adapted dynamically (on a picture-by-picture basis) according to the source scale factor information for better picture quality enhancement. In addition, embodiments provide source resolution detection that is minimally affected by video coding artifacts and superimposed content (e.g., graphics).

Abstract: An apparatus and a method for adaptive filtering includes an antenna that receives analog video broadcast signal data; an analog-to-digital converter coupled to the antenna and converting the received analog video broadcast signal data to digital video signal data; a frame buffer memory storing the digital video signal data; an instruction memory storing adaptive filtering instructions; and an adaptive filter coupled to the memory and the analog-to-digital converter, wherein the adaptive filter: reads the adaptive filter instructions from the memory; executes the adaptive filter instructions; averages an input pixel with a corresponding pixel stored in the frame buffer memory; calculates a forgetting factor for each pixel in the plurality of pixel values stored in the frame buffer memory; and filters noise from each pixel of the plurality of pixel values stored in the frame buffer memory based on the forgetting factor.

Abstract: A video processing device may compare a pixel or group of pixels of a current video picture to a pixel or group of pixels of a previous video picture. The video processing device may generate a motion vector for the pixel or group of pixels of the current video picture based on the comparison. The video processing device may determine an amount of filtering to be applied to the pixel or group of pixels of the current video picture. The video processing device may adjust the determined amount of filtering to be applied to the pixel or group of pixels based on the generated motion vector and based on a brightness value.

Abstract: Several systems and methods for filtering noise from a picture in a picture sequence associated with video data are disclosed. In an embodiment, the method includes accessing a plurality of pixel blocks associated with the picture and filtering noise from at least one pixel block from among the plurality of pixel blocks. The filtering of noise from a pixel block from among the at least one pixel block includes identifying pixel blocks corresponding to the pixel block in one or more reference pictures associated with the picture sequence. Each identified pixel block is associated with a cost value. One or more pixel blocks are selected from among the identified pixel blocks based on associated cost values. Weights are assigned to the selected one or more pixel blocks and set of filtered pixels for the pixel block is generated based on the weights.

Abstract: A filter for a video stream is provided. The filter generates a filtered picture according to a current picture and its previous picture. A motion difference calculator accumulates differences between current picture values and previous picture values within a neighborhood of each pixel to provide a corresponding motion difference. A histogram counter performs histogram counting according to motion differences of the pixels. A filter value calculator provides a filter value for each pixel according to operations of the motion difference calculator and the histogram counter. A blender blends the current picture value and the previous picture value of each pixel according to weightings correlated to the filter value, and provides a filtered picture value for each pixel of the filtered picture.

Abstract: A video-information-processing apparatus comprising: a smoothing unit to smooth input video information of a plurality of pixels and generate smoothed video information; a subtraction unit to calculate a gradation difference between the input and smoothed video information; a mixing unit to mix the input and smoothed video information at a ratio corresponding to the difference and generate mixed video information; a determination unit to determine whether or not a peripheral pixel region, including each pixel in the input video information and pixels located around the pixel, is a low-frequency region not including a gradation change greater than or equal to a predetermined gradation change; and an output-selection unit to output the mixed video information when the determination unit determines that the peripheral pixel region is the low-frequency region and output the input video information when the determination unit determines that the peripheral pixel region is not the low frequency region.

Abstract: In a noise reducer, a first subtractor 101 generates a difference N1 between an input video signal Ynow and a delayed video signal Ypre output from a frame memory 104 and obtained by delaying an output video signal Yout by a time corresponding to one screen. An amplitude adjuster 102 adjusts the amplitude of an output signal of the first subtractor 101 based on a motion signal MV. A second subtractor 103 subtracts an output N2 of the amplitude adjuster 102 from the input video signal Ynow. A motion detector 2 calculates the amount of change in the input video signal Ynow with respect to the delayed video signal Ypre for each of pixels constituting one screen, and generates, as the motion signal MV, a signal determining, as “moving,” a predetermined proportion of pixels for which the amount of change is smaller than a predetermined threshold value.

Abstract: The present invention relates to an image processing method comprising providing video image frames with a first frame rate, up-converting said frame rate to provide video image frames with a second frame rate, and applying dithering to said video image frames with said second frame rate.

Abstract: Method and apparatus for converting a first video signal into a second video signal, including a succession of frames wherein each includes a plurality of points having a luminance. The points of the second video signal can be displayed on corresponding pixels of a display device. The method includes calculating the luminance of a point of a current frame of the second video signal by a weighted sum of a luminance of a corresponding point of a current frame of the first video signal and of a luminance of a corresponding point of a previously stored frame, and storing the luminance of the corresponding point of the current frame of the first video signal. The calculation is repeated for all the points of the current frame of the second video signal, and the storage is repeated for all the points of the current frame of the first video signal.

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.