Abstract: A video processing system for de-interlacing a video signal comprises a motion estimation block, a refinement motion estimation block, and a de-interlacer. The motion estimation block generates integer motion vectors for the video signal. The refinement motion estimation block generates fractional motion vectors as a function of the generated integer motion vectors and select frames of the video signal. The de-interlacer generates an output as a function of the generated fractional motion vectors and the selected frames of the video signal.

Abstract: A method for processing video data, comprises the steps of: decoding a stream of the video data; post-processing the decoded stream as a function of a video data packing format, wherein the decoded stream having first view pixels and second view pixels and wherein the first view pixels and the second view pixels are stored in line buffers according to the video data packing format; and outputting the post-processed stream to a display, wherein the line buffers output the first view pixels and the second view pixels to the display in a displayable format.

Abstract: A method for calibrating an image capture device, comprises the steps of: applying lighting levels onto the image capture device; capturing luma values for the applied lighting levels; calculating luma gains for lens coordinates as a function of the applied lighting levels and the captured luma values, wherein each of the lens coordinates having multiple ones of the calculated luma gains; and storing the calculated luma gains to calibrate the image capture device.

Abstract: A method for determining a chroma gain for a modulated chroma signal, comprises the steps: receiving the modulated chroma signal; generating a first chroma gain as a function of a color burst of the received modulated chroma signal; generating a second chroma gain as a function of a peak amplitude of the modulated chroma signal; and determining a final chroma gain for the received modulated chroma signal as a function of the first generated chroma gain and the second generated chroma gain, wherein the determined chroma gain is applied on the modulated chroma signal.

Abstract: A method to convert two-dimensional (“2D”) image content into three-dimensional (“3D”) image content for display on a display device, comprises the steps of: analyzing the 2D image content for predefined indicators and generating a depth map for each of the predefined indicators; determining a combined depth map as a function of the generated depth maps; and generating the 3D image content for display on the display device as a function of the combined depth map.

Abstract: A method for calibrating an image capture device, comprises the steps of: applying lighting levels onto the image capture device; capturing luma values for the applied lighting levels; calculating luma gains for lens coordinates as a function of the applied lighting levels and the captured luma values, wherein each of the lens coordinates having multiple ones of the calculated luma gains; and storing the calculated luma gains to calibrate the image capture device.

Abstract: A method for determining a chroma gain for a modulated chroma signal, comprises the steps: receiving the modulated chroma signal; generating a first chroma gain as a function of a color burst of the received modulated chroma signal; generating a second chroma gain as a function of a peak amplitude of the modulated chroma signal; and determining a final chroma gain for the received modulated chroma signal as a function of the first generated chroma gain and the second generated chroma gain, wherein the determined chroma gain is applied on the modulated chroma signal.

Abstract: A method for processing video data, comprises the steps of: decoding a stream of the video data; post-processing the decoded stream as a function of a video data packing format, wherein the decoded stream having first view pixels and second view pixels and wherein the first view pixels and the second view pixels are stored in line buffers according to the video data packing format; and outputting the post-processed stream to a display, wherein the line buffers output the first view pixels and the second view pixels to the display in a displayable format.

Abstract: A video processing system for de-interlacing a video signal comprises a motion estimation block, a refinement motion estimation block, and a de-interlacer. The motion estimation block generates integer motion vectors for the video signal. The refinement motion estimation block generates fractional motion vectors as a function of the generated integer motion vectors and select frames of the video signal. The de-interlacer generates an output as a function of the generated fractional motion vectors and the selected frames of the video signal.

Abstract: A method for 3D content detection, comprises the steps of: receiving a frame of video data comprising cells, wherein the cells are partitioned into a first area and a second area, and wherein the cells of the first area and the cells of the second area have one or more video characteristics; comparing the video characteristics of the cells of the first area with the video characteristics of the cells of the second area; and determining whether the frame has 3D content as a function of the compared video characteristics of the cells.

Abstract: A method for demosaicing color filter array (“CFA”) pixels, comprises the steps of: receiving an array of the CFA pixels; demosaicing certain ones of the CFA pixels as a function of the relative vertical positions of the certain ones of the CFA pixels in the array, wherein the certain ones of the CFA pixels are along a first column of the array; and outputting, in parallel, the demosaiced certain ones of the CFA pixels for post-processing of the CFA pixels.

Abstract: A method for detecting motion in video fields of video data, comprises the steps of: calculating texture information for a pixel in the video fields; determining a threshold value as a function of the calculated texture information; calculating a differential value for the pixel; and detecting motion in the video fields as a function of the determined threshold value and the calculated differential value.

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: A method for detecting motion in video fields of video data, comprises the steps of: calculating texture information for a pixel in the video fields; determining a threshold value as a function of the calculated texture information; calculating a differential value for the pixel; and detecting motion in the video fields as a function of the determined threshold value and the calculated differential value.

Abstract: Aspects of a method and system for a generalized multi-dimensional filter device are provided. A corresponding luma component and a corresponding chroma component of a sample of a composite video baseband signal for each of a plurality of filtering modes may be determined. A similarity level of the sample corresponding to each of the plurality of filtering modes may be determined. A corresponding coefficient for each of the plurality of filtering modes may be generated based on the determined similarity levels. A luma component and a chroma component of the sample of the composite video baseband signal may be generated based on the generated corresponding coefficients and the determined corresponding luma components and the determined corresponding chroma components for each of the plurality of filtering modes.

Abstract: Aspects of a method and system for a generalized multi-dimensional filter device are provided. A corresponding luma component and a corresponding chroma component of a sample of a composite video baseband signal for each of a plurality of filtering modes may be determined. A similarity level of the sample corresponding to each of the plurality of filtering modes may be determined. A corresponding coefficient for each of the plurality of filtering modes may be generated based on the determined similarity levels. A luma component and a chroma component of the sample of the composite video baseband signal may be generated based on the generated corresponding coefficients and the determined corresponding luma components and the determined corresponding chroma components for each of the plurality of filtering modes.

Abstract: Aspects of a method and system for an advanced motion detection and decision mechanism for a comb filter in an analog video decoder are provided. A spatial luma component and a spatial chroma component of a current pixel of a composite video baseband signal may be determined by a spatial comb filter. A temporal luma component and a temporal chroma component of the current pixel of the composite video baseband signal may be determined by one or more temporal comb filters. A motion level of the current pixel may be generated based on one or more video characteristics. A luma component and a chroma component of the current pixel of the composite video baseband signal may be generated based on the generated motion level and determined spatial luma component, spatial chroma component, temporal luma component, and temporal chroma component of the current pixel of the composite video baseband signal.

Abstract: We describe a device that dynamically increases the contrast of the effective gray level based on the gray level distribution of serial images, performs soft-transfer of dynamic contrast adjustment curve when a scene switch occurs thereby realizing adaptive contrast enhancing while effectively avoiding image flicker. A device and associated method for enhancing image contrast includes a gray level distribution statistic circuit to calculate gray level statistic data of an image responsive to an image brightness signal. An adaptive contrast mapping curve calculation circuit calculates a gray level mapping curve responsive to the gray level statistic data. An inter-frame curve soft-merging circuit performs inter-frame soft-merging to the gray level mapping curve. And a gray level mapping circuit performs gray level mapping of the input image brightness signal.

Abstract: We describe a processing apparatus and associated method for enhancing image color that includes a color space regional parameter storage module to store parameters of a color space region. A plurality of color space regional decision and enhancement attenuation calculation modules each calculate a color enhancement amplitude of a pixel responsive to the parameters. And a color space component enhancement module calculates a component of the color enhancement amplitude of the pixel in its color space. The processing apparatus and associated method achieve improved color enhancement in a specific region of the color space.

Abstract: We describe a processing apparatus and associated method for enhancing image color that includes a color space regional parameter storage module to store parameters of a color space region. A plurality of color space regional decision and enhancement attenuation calculation modules each calculate a color enhancement amplitude of a pixel responsive to the parameters. And a color space component enhancement module calculates a component of the color enhancement amplitude of the pixel in its color space. The processing apparatus and associated method achieve improved color enhancement in a specific region of the color space.