Video image coding method and device

Abstract

The invention discloses a video image coding method and device. The method and the device are used for solving the problems that in the prior art, when a video coding JND model is used for coding a video image, generated data after coding is carried out comprise vision redundant information, the complexity of the coding process is high, and the subjective video coding performance is low. According to the method and the device, effective block classification is carried out on a video image corresponding to the current frame, luminance modulation factors are introduced into a pixel-level JND value of a traditional DCT region for obtaining the pixel-level JND value of the DCT region, in the process of obtaining macro-block level QP offset, canny operators do not need to be used, and therefore the coding complexity is reduced; moreover, in the coding process of the video image, the visual characteristic of the human eyes is taken into consideration, and block level vision sensitivity factors are added when a macro-block level QP is obtained, so that vision redundant information of generated data after the video image is coded is reduced, and the subjective video coding performance is improved.

Description

technical field [0001] The invention relates to the field of video data processing, in particular to a video image encoding method and device. Background technique [0002] In order to save transmission bandwidth and storage space, and support applications such as digital TV broadcasting, remote monitoring, digital video on demand, and wireless multimedia communication, video image coding has become one of the hot spots in research and industrial applications at home and abroad. The coding techniques involved in current video image coding standards mainly include: intra prediction, inter prediction, transformation, inverse transformation, quantization, inverse quantization, and entropy coding. [0003] JND (Just Noticeable Distortion; Just Noticeable Distortion model) as a subjective visual coding model can effectively improve the efficiency of video image coding and the quality of video images. Can perceive noise above a certain threshold, which is the just detectable dist...

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide a method and device for encoding video images, which are used to solve the problem of high complexity in the encoding process when the generated encoded data contains visual redundant information when the JND model of video encoding in the prior art encodes video images. , and the problem of low subjective video coding performance

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