Abstract: A method to produce a frame of video data includes receiving original frame true motion information, original frame object boundary information, and original frame layer information for at least two original frames of video data, and generating interpolation phase block-level motion and interpolation phase pixel-level layer information from the original frame block-level true motion information, original frame pixel-level object boundary information, and original frame pixel-level layer information for the original frame.

Abstract: To determine if a pixel exhibits artifacts, statistics are generated for the pixel and its neighbors. These statistics are compared with thresholds. If the comparison of the statistics and the thresholds suggests that the pixel exhibits a pixel artifact, then recourse can be taken, either to adjust the pixel value in some way, or to reject the angle of interpolation used in computing the value for the target pixel.

Abstract: A method of performing motion compensation includes identifying a set of candidate motion vectors for a block in an intermediate frame from a set of motion vectors from a previous and current frames, performing block-level analysis for each candidate motion vector, selecting an interpolation motion vector, and using the interpolation motion vector to interpolate the intermediate frame between the previous and current frames, wherein the number of intermediate frames depends upon a conversion to a faster frame rate. A method of determining background and foreground motion vectors for a block in an interpolated frame includes comparing a first motion vector that points to a previous frame to a second motion vector that points to a next frame to produce a difference, and designating one of the first and second motion vectors as a background motion vector and the other as a foreground motion vector depending upon the difference.

Abstract: A method of reducing artifacts in video image data includes determining pixels in a block of image data that are mosquito pixels, estimating a level of mosquito noise in the block, and filtering out the mosquito noise to produce noise-filtered data.

Abstract: A method of generating a super-resolution image from a single frame includes receiving, at a processor, first image data having a first resolution as a query image layer, acquiring, by the processor, second image data as a copy image layer, generating, by the processor, at least one additional image layer as a retrieval layer, the at least one additional image layer having a resolution lower than the first resolution, wherein the lower resolution corresponds to the first resolution divided by a scaling factor, generating high resolution image data for a high resolution layer having a resolution higher than the first resolution, the generating including copying image data from the copy layer when a match is found and upscaling the query layer when a match is not found.

Abstract: A method can include receiving an input image, performing an edge-preservation enhancement on the input image, performing a local-extrema enhancement on the input image, and performing a digital transient improvement (DTi) operation on the input image. A gradient-based fusion of an output of the edge-preserving enhancement and an output of the local-extrema enhancement may be performed, and a transient-based fusion of an output of the gradient-based fusion and an output of the DTi operation may also be performed.

Abstract: A method can include receiving an input signal that includes an input image having an original edge, applying multiple one-dimensional (1D) Digital Transient Improvement (DTi) algorithms to the input image, summing each result of the application of each of the 1D DTi algorithms to the input image, and providing an output signal that includes an output image having an enhanced edge that results from the applying and summing and corresponds to the original edge.

Abstract: A method of generating a super-resolution image from a single frame of image data, includes receiving, at a processor, a frame of image data have a first resolution as an original image layer, generating an estimated super-resolution image as a high resolution image layer, the estimated super-resolution image having a second resolution, the second resolution being higher than the first resolution from the frame of original image data, generating a low resolution image layer by down sampling the frame of image data, the low resolution image layer having a resolution lower than the first resolution, down sampling the estimated super-resolution image to produce an intermediate image layer having an intermediate resolution between the first resolution and the second resolution, and selectively copying image data from the original image layer to the super-resolution image layer to produce a final super-resolution image.

Abstract: An apparatus includes a phase plane conversion module to convert image data into at least two phases, a current phase and a previous phase, a first phase motion vector calculation module to generate a first phase motion vector field, a second phase motion vector calculation module to generate a second phase motion vector field, and a double check module to determine which vectors in the first and second phase motion vector fields are double confirmed and to identify regions in which the motion vectors are not double confirmed as occluded.

Abstract: An apparatus has a motion vector estimation module to perform motion vector estimation on a current frame and on a previous frame of image data to produce a current phase and a previous phase, a motion vector generation module to generate motion vector fields for the current and previous phases, and a motion vector interpolation module to find interpolated motion vectors for an interpolated phase that have minimal differences between motion vectors in the current and previous motion vector fields and to product interpolated motion vectors.

Abstract: A method of performing motion compensation includes dividing at least one frame of image data into blocks, performing phase plane correlation to determine a correlation surface for each block between a first frame and a second frame, using the correlation surfaces for each block in the first frame to produce a global correlation surface for a first frame, using the global correlation surface to produce a refined correlation surface, selecting peaks in the refined correlation surface, and perform sub-pixel motion vector calculations to produce global motion vectors using the peaks.

Abstract: A method of performing motion compensation includes dividing a current frame of video data into blocks, and clustering the blocks based on motion vectors.

Abstract: A method of displaying video data includes receiving, at a timing controller, a frame of pixel data at a resolution lower than the display resolution from an application processor, generating new frames of video data at the timing controller by applying a filter with a different set of coefficients to at least one neighboring frame at the lower resolution to generate a display frame of video data at a higher resolution. A video processing device has an application processor to execute instructions causing the application process to transmit frames of image data at a resolution lower than an original resolution, and a timing controller to execute instructions causing the timing controller to reconstruct frames of image data at the original resolution from the frames of lower resolution.

Abstract: A method can include detecting a pixel direction and a pixel weight for each of a number of pixels in an image, generating one-dimensional (1D) and two-dimensional (2D) histograms based on the pixel directions and weights, and generating a global 2D histogram based on the generated 1D and 2D histograms. The method can also include generating a final depth map based on the global 2D histogram. The method can also include generating a block histogram statistic based on the pixel directions and pixel weights and checking the block histogram based on the block histogram statistic.

Abstract: A method of generating an initial high resolution frame includes receiving at least two low resolution frames of an image at a processor, wherein the low resolution frames have a resolution lower than the high resolution frame, using one or more low resolution frames to interpolate a high resolution frame using an interpretive scaler, wherein the interpolation adapts to the contours of the image, and using the initial high resolution frame and the low resolution frame in an iterative super resolution process.

Abstract: A method of transmitting video data includes receiving a frame of video data of a first resolution from an image capture device at a video transmission device and generating interlaced fields of the frame of video data at the video transmission device by applying a filter with a different set of filter coefficients to at least one field than is applied at least one other field. A method of producing video data of a particular resolution includes generating estimated high resolution video data from low resolution video data received at a display device, producing estimated low resolution video data from the estimated high resolution video data by applying a filter to the estimated high resolution video data, differencing the estimated low resolution video data and the received low resolution video data to generate difference data, and using the difference data to generate new estimated high resolution video data.

Abstract: A temperature detection circuit on an integrated circuit has a temperature sensitive oscillator, at least one temperature insensitive oscillator, a reference clock, process detection circuitry coupled to an output of the temperature insensitive oscillator and the output of the reference clock, the process detection circuitry to compare the outputs and produce a process signal, and temperature reference circuitry coupled to an output of the temperature sensitive oscillator, the output of the reference clock, and the process signal, the temperature detection circuitry to produce a temperature for the integrated circuit.

Abstract: A method of performing motion compensation includes dividing at least one frame of image data into blocks, performing phase plane correlation to determine a correlation surface for each block between a first frame and a second frame, using the correlation surfaces for each block in the first frame to produce a global correlation surface for a first frame, using the global correlation surface to produce a refined correlation surface, selecting peaks in the refined correlation surface, and perform sub-pixel motion vector calculations to produce global motion vectors using the peaks.

Abstract: A method, includes receiving original image data having a first resolution, dividing the original image data into zones based upon a second resolution, wherein the second resolution corresponds to a resolution of backlight elements, determining a backlight value for each zone, and adjusting the original image data in each block to compensate for the backlight value for each zone to produce compensated image data, wherein adjusting the original image data comprises using the backlight value and an original image data value as indexes into at least one look-up table to acquire compensated image data.

Abstract: A system including a memory configured to store a plurality of initial frames of a video signal and a plurality of motion vectors; and a multi-frame interpolator coupled to the memory and including a first output port and a second output port, the frame interpolator configured to generate a first output frame and a second output frame from the initial frames and the motion vectors, to output the first output frame through the first output port and output the second output frame through the second output port.