Image forecasting method and related device

Abstract

The invention discloses an image forecasting method and a related device. The image forecasting method includes: confirming K1 pixel samples in an image block x, and confirming a candidate movement information unit set corresponding to each of the K1 pixel samples; enabling each candidate movement information unit set corresponding to each pixel sample to include at least one candidate movement information unit; confirming a merger movement information unit set i which includes K1 movement information units; using a non-translation movement model and the merger movement information unit set i to forecast pixel values of the image block x, wherein all the movement information units in the merger movement information unit set i are respectively selected from at least a part of the movement information units in the candidate movement information unit sets corresponding to the different pixel samples in the K1 pixel samples. The image forecasting method and the related device facilitate reduction of computation complexity of image forecasting based on the non-translation movement model.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image prediction method and a related device. Background technique [0002] With the development of photoelectric acquisition technology and the growing demand for high-definition digital video, the amount of video data is increasing. The limited heterogeneous transmission bandwidth and diversified video applications continue to put forward higher requirements for video coding efficiency. The formulation of High Efficient Video Coding (English: high efficient video coding, abbreviation: HEVC) standard was started due to need. [0003] The basic principle of video coding and compression is to use the correlation between space domain, time domain and code words to remove redundancy as much as possible. The current popular practice is to use a block-based hybrid video coding framework to achieve video coding compression through steps such as prediction (includin...

AI Technical Summary

Problems solved by technology

Since the 1990s, video coding experts have realized the prevalence of irregular motion, hoping to improve video quality by introducing irregular motion models (such as non-translational motion models such as affine motion models, rotational motion models, and scaling motion models). Coding efficiency, but the computational complexity of existing image prediction based on non-translational motion models is usually very high

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