Abstract: One embodiment of the present invention sets forth a technique for deblocking video frames. The technique includes determining a filter length associated with a boundary between a first block and a second block included in the same video frame. The technique also includes computing a parameter value that minimizes a sum of squares of second derivatives associated with samples from the first block and second block that are adjacent to the boundary. The technique further includes determining a plurality of filter values based on the parameter value and the filter length, and applying a filter having the filter length and the filter values to additional samples within the first and second blocks to generate two filtered blocks corresponding to the first and second blocks. The technique additionally comprises generating a second video frame that includes the two filtered blocks.

Abstract: A first filter decision value is calculated for a block of pixels in a video frame based on pixel values of pixels in a first line of pixels in the block. A second filter decision value is also calculated for the block based on pixel values of pixels in a corresponding first line of pixels in a neighboring block in the video frame. The first filter decision value is used to determine how many pixels in a line of pixels in the block to filter relative to a block boundary between the block and the neighboring block. The second filter decision value is used to determine how many pixels in a corresponding line of pixels in the neighboring block to filter relative to the block boundary.

Abstract: One embodiment of the present invention sets forth a technique for encoding video frames. The technique includes performing one or more operations to generate a plurality of denoised video frames associated with a video sequence. The technique also includes determining a first set of motion vectors based on a first denoised frame included in the plurality of denoised video frames and a second denoised frame included in the plurality of denoised video frames, and determining a first residual between the second denoised frame and a prediction frame associated with the second denoised frame. The technique further includes performing one or more operations to generate an encoded video frame associated with the second denoised frame based on the first set of motion vectors, the first residual, and a first frame that is included in the video sequence and corresponds to the first denoised frame.

Abstract: A first filter decision value is calculated for a block of pixels in a video frame based on pixel values of pixels in a first line (12) of pixels in the block. A second filter decision value is also calculated for the block based on pixel values of pixels in a corresponding first line of pixels in a neighboring block in the video frame. The first filter decision value is used to determine how many pixels in a line of pixels in the block to filter relative to a block boundary between the block and the neighboring block. The second filter decision value is used to determine how many pixels in a corresponding line of pixels in the neighboring block to filter relative to the block boundary.

Abstract: A method of reducing blocking artifacts associated with pixels of a block boundary of an image. Pixel values of pixels from a first block and a neighboring block, being located on opposite sides of a block boundary, are evaluated. A first offset for the two pixels of each block located next to the block boundary is calculated, after which the first offset is compared to a first threshold value. If abs[first offset]<first threshold, the pixel values of consecutive pixels from the first block and the pixel values of consecutive pixels from the second block are modified by applying normal filtering on the respective pixels, while if instead abs[first offset]>=first threshold, the pixel values of consecutive pixels from the first block and the pixel values of consecutive pixels from the second block are modified by applying weak filtering or no filtering at all on the respective pixels.

Abstract: A first filter decision value is calculated for a block of pixels in a video frame based on pixel values of pixels in a first line (12) of pixels in the block. A second filter decision value is also calculated for the block based on pixel values of pixels in a corresponding first line of pixels in a neighboring block in the video frame. The first filter decision value is used to determine how many pixels in a line of pixels in the block to filter relative to a block boundary between the block and the neighboring block. The second filter decision value is used to determine how many pixels in a corresponding line of pixels in the neighboring block to filter relative to the block boundary.

Abstract: A first filter decision value is calculated for a block of pixels in a video frame based on pixel values of pixels in a first line of pixels in the block. A second filter decision value is also calculated for the block based on pixel values of pixels in a corresponding first line of pixels in a neighboring block in the video frame. The first filter decision value is used to determine how many pixels in a line of pixels in the block to filter relative to a block boundary between the block and the neighboring block. The second filter decision value is used to determine how many pixels in a corresponding line of pixels in the neighboring block to filter relative to the block boundary.

Abstract: A method of reducing blocking artifacts associated with pixels of a block boundary of an image. Pixel values of pixels from a first block and a neighboring block, being located on opposite sides of a block boundary, are evaluated. A first offset for the two pixels of each block located next to the block boundary is calculated, after which the first offset is compared to a first threshold value. If abs[first offset]<first threshold, the pixel values of consecutive pixels from the first block and the pixel values of consecutive pixels from the second block are modified by applying normal filtering on the respective pixels, while if instead abs[first offset]>=first threshold, the pixel values of consecutive pixels from the first block and the pixel values of consecutive pixels from the second block are modified by applying weak filtering or no filtering at all on the respective pixels.

Abstract: In various embodiments, a reconstruction application generates reconstructed video content that includes synthesized film grain. The reconstruction application performs scaling operation(s) on first unit noise based on a piecewise linear scaling function and the brightness component of the decoded video content to generate a brightness component of synthesized film grain. The reconstruction application then generates a brightness component of reconstructed video content based on the brightness component of the synthesized film grain and the brightness component of the decoded video content. Finally, the reconstructed application performs operation(s) related to saving the reconstructed video content to a file and/or further processing the reconstructed video content. Advantageously, the synthesized film grain reliably represents the film grain included in source video content from which the decoded video content was derived.

Abstract: A method of reducing blocking artifacts associated with pixels of a block boundary of an image. Pixel values of pixels from a first block and a neighboring block, being located on opposite sides of a block boundary, are evaluated. A first offset for the two pixels of each block located next to the block boundary is calculated, after which the first offset is compared to a first threshold value. If abs[first offset]<first threshold, the pixel values of consecutive pixels from the first block and the pixel values of consecutive pixels from the second block are modified by applying normal filtering on the respective pixels, while if instead abs[first offset]>=first threshold, the pixel values of consecutive pixels from the first block and the pixel values of consecutive pixels from the second block are modified by applying weak filtering or no filtering at all on the respective pixels.

Abstract: One embodiment of the present invention sets forth a technique for correcting color values. The technique includes downsampling first color space values to generate downsampled color space values and upsampling the downsampled color space values to generate second color space values. The technique further includes modifying at least one component value included in the downsampled color space values based on a first component value included in the first color space values, a second component value included in the second color space values, and an approximation of a nonlinear transfer function.

Abstract: One embodiment of the present invention sets forth a technique for correcting color values. The technique includes downsampling first color space values to generate downsampled color space values and upsampling the downsampled color space values via a first upsampling filter type to generate second color space values. The technique further includes modifying at least one component value included in the downsampled color space values based on a first component value included in the first color space values, a second component value included in the second color space values, and an approximation of a nonlinear transfer function. The technique further includes at least one of (i) storing an indication of the first upsampling filter type in conjunction with a video bitstream associated with the at least one component value, and (ii) transmitting the indication of the first upsampling filter type to a receiving device in conjunction with the video bitstream.

Abstract: A first filter decision value is calculated for a block of pixels in a video frame based on pixel values of pixels in a first line of pixels in the block. A second filter decision value is also calculated for the block based on pixel values of pixels in a corresponding first line of pixels in a neighboring block in the video frame. The first filter decision value is used to determine how many pixels in a line of pixels in the block to filter relative to a block boundary between the block and the neighboring block. The second filter decision value is used to determine how many pixels in a corresponding line of pixels in the neighboring block to filter relative to the block boundary.

Abstract: One embodiment of the present invention sets forth a technique for correcting color values. The technique includes downsampling first color space values to generate downsampled color space values, upsampling the downsampled color space values to generate second color space values, and determining a first new value for at least one component value included in the downsampled color space values based on a first component value included in the first color space values, a second component value included in the second color space values, and an approximation of a nonlinear transfer function. The technique further includes determining that a first color component value associated with the first new value is outside of a color space range, and determining a second new value for the at least one component value, where the first color component associated with the second new value is within the color space range.

Abstract: A first filter decision value is calculated for a block of pixels in a video frame based on pixel values of pixels in a first line of pixels in the block. A second filter decision value is also calculated for the block based on pixel values of pixels in a corresponding first line of pixels in a neighboring block in the video frame. The first filter decision value is used to determine how many pixels in a line of pixels in the block to filter relative to a block boundary between the block and the neighboring block. The second filter decision value is used to determine how many pixels in a corresponding line of pixels in the neighboring block to filter relative to the block boundary.

Abstract: Pixel values of pixels (12, 14, 16, 22, 24, 26) in a line (15) of pixels (12, 14, 16, 18, 22, 24, 26, 28) are filtered with a strong deblocking filter to obtain filtered pixel values. Each filtered pixel value is clipped off to a respective clipping parameter value defined based on a position of the pixel (12, 14, 16, 22, 24, 26) relative to a block boundary (2) between two adjacent blocks (10, 20) of pixels (12, 14, 16, 18, 22, 24, 26, 28). The clipping parameter values change at least linearly depending in the pixel position relative to the block boundary (2) so that pixels (12, 16) in the line (15) of pixels (12, 14, 16, 18, 22, 24, 26, 28) having different positions from the block boundary (2) will have different clipping parameter values.

Abstract: A deblocking filtering control comprises checking whether pixel values of four pixels (12, 22) in a line (15) of pixels (12, 22) in a block (10) of pixels (12) and in a neighboring block (20) of pixels (22) form an approximate line. If the pixel values of the four pixels (12, 22) in the line (15) of pixels (12, 20) in both the block (10) of pixels (12) and in the neighboring block (20) of pixels (22) form an approximate line the deblocking filtering control selects to apply strong deblocking filtering to pixel values in the line (15) of pixels (12, 22). The subject and objective quality of the deblocking filtering is thereby improved by applying strong deblocking filter to areas where the signal in a picture (1) not only has the form of a flat line but also form a ramp.

Abstract: Visible artifacts in a video stream of pictures with slices are reduced by having a separate maximum transform size for intra coding units in inter coded slices as compared to intra coding units in intra coded slices and/or inter coding units or by penalizing the usage of large transform size for such intra coding units in inter coded slices as compared to intra coding units in intra coded slices and/or inter coding units.

Abstract: A value of a deblocking parameter is determined for a picture (40) based on a depth of the picture (40) in a hierarchical coding structure of multiple pictures (40) in a video sequence (1). The determined value is encoded to form an encoded value that is sent to a decoder (85, 95, 400, 500, 600, 800) for use therein during decoding. The embodiments thereby reduces blocking artifacts, which otherwise can occur in video sequences with hierarchical coding structures, such as for QP toggling and multilayer/view video, by determining deblocking parameter values based on picture depth in the hierarchical coding structure.

Abstract: In various embodiments, a reconstruction application generates reconstructed video content that includes synthesized film grain. The reconstruction application performs scaling operation(s) on first unit noise based on a piecewise linear scaling function and the brightness component of the decoded video content to generate a brightness component of synthesized film grain. The reconstruction application then generates a brightness component of reconstructed video content based on the brightness component of the synthesized film grain and the brightness component of the decoded video content. Finally, the reconstructed application performs operation(s) related to saving the reconstructed video content to a file and/or further processing the reconstructed video content. Advantageously, the synthesized film grain reliably represents the film grain included in source video content from which the decoded video content was derived.