Boundary compensation mode processing method in offset compensation of video encoding and decoding sample value
A technology of video encoding and decoding and offset compensation, applied in the field of video encoding and decoding, can solve the problem that the sampling points of ultra-high-definition images cannot correctly reflect the texture characteristics of the location of the sampling points.
Active Publication Date: 2016-02-03
VIMICRO ELECTRONICS CORP
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[0003] In view of this, the embodiment of the present invention provides an EO mode processing method in video codec sample offset compensation, which solves the problem that the sampling points of ultra-high-definition images cannot correctly reflect the texture characteristics of the sample points.
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[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0019] The principle of SAO (sample adaptation offset; sample value offset compensation) is to divide the reconstructed image output by the deblocking filter DB into several CTUs (coding tree units, one CTU contains a brightness coding tree block CTB and 2 color degree coding tree block), and select a pixel compensation method according to its CTU pixel characteristics to reduce the distortion between the original image and the reconstructed image. Th...
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Embodiments of the invention relate a boundary compensation EO mode processing method in offset compensation of a video encoding and decoding sample value. The method comprises the following steps: selecting a gradient mode for target CTU; using two neighbor point positions adjacent to a current sample value point and two neighbor point positions with one point isolated to sample on the selected gradient mode; respectively determining subclassification types of the current sample value point and the sizes of the two corresponding neighbor point positions in the two sampling modes; determining a compensation range of the current sample value point according to the determined subclassification types; respectively calculating compensation values with optimal rate-distortion of the current sample value point within the determined compensation range for the two sampling modes; comparing the compensation values with optimal rate-distortion in the two sampling modes; and determining the sampling mode adopted by the current sample value point for the gradient mode according to a comparative result. According to the boundary compensation EO mode processing method provided by the invention, the problem that a sampling point of a super high definition image can not accurately reflect the texture characteristics of the position where the sample value point is located is solved.
Description
technical field [0001] The invention relates to the technical field of video encoding and decoding, in particular to an EO mode processing method in sample value offset compensation in the process of video encoding and decoding. Background technique [0002] In order to meet the needs of transmitting and storing images in the current limited transmission bandwidth and storage media, it is usually necessary to perform compression codec processing on video sequences. In order to reduce the distortion of the transmitted video as much as possible, SAO (Sample Offset Compensation) will be performed during the video encoding and decoding process, and EO (Edge Compensation) is one of the compensation modes of SAO. In the traditional EO mode, the sampling point generally selects the adjacent point of the sample point. However, when the image is ultra-high-definition or even larger in size, this sampling method may not correctly reflect the texture characteristics of the current poin...
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IPC IPC(8): H04N19/147H04N19/70H04N19/132H04N19/103
Inventor 尤权锋黎明夏昌盛旷开智周文博张韵东
Owner VIMICRO ELECTRONICS CORP