Method and device for processing image

Abstract

Provided are a method and device for image processing, which can lower memory bandwidth requirements. The method comprises: acquiring N pieces of motion information from N adjacent image blocks adjacent to a current image block, the N adjacent image blocks being one-to-one corresponding to the N pieces of motion information, the N pieces of motion information being used to indicate N reference image blocks in a reference image of the current image block, and the N pieces of motion information being one-to-one corresponding to the N reference image blocks; determining candidate motion information from the N pieces of motion information according to a preset rule, determining, in the reference image, a location range of pixels to be stored, and storing all the pixels in the location range, the location range covering all pixels of a candidate reference image block, the candidate reference image block being at least one image block in the N reference image blocks, and the candidate motion information being motion information corresponding to the candidate reference image block; and reading the pixels in the location range, and performing encoding processing on the current image block according to the pixels in the location range.

Description

technical field [0001] The present invention relates to the field of video processing, and more particularly, to a method and device for image processing. Background technique [0002] With the rapid development of the Internet and the increasingly rich material and spiritual culture of people, there are more and more requirements for video applications on the Internet, especially for high-definition video applications, and the data volume of high-definition videos is very large. For transmission in the Internet with limited bandwidth, the problem that must be solved first is the problem of high-definition video compression codec. [0003] At present, a coding and decoding technology is known, which obtains multiple motion information from adjacent image blocks, selects an optimal motion information from the multiple motion information obtained, and uses the optimal motion information to perform motion on the current coding block compensate. It should be noted that the for...

AI Technical Summary

Problems solved by technology

[0005] In particular, when the number of candidate motion vectors is large, the number of reference image blocks that need to be stored is also large, resulting in increased requirements for memory bandwidth and increased system cost

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