JND prediction method and device for screen content image, computer equipment and storage medium

A technology of screen content and prediction method, applied in the field of image and video coding
CN112437302AActive Publication Date: 2021-03-02SHENZHEN UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN UNIV
Publication Date
2021-03-02

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Abstract

The invention relates to a JND prediction method and device for a screen content image, computer equipment and a storage medium, and the method comprises the steps: calculating the spectral residual error of the image, and obtaining the uncertainty of each pixel in the image through the extraction of the orderliness features of measurement pixels; dividing the image into a predictable content partand an unpredictable content part according to the uncertainty; obtaining a JND threshold value of the unpredictable content part by calculating a contrast masking metric value; obtaining a JND threshold value of the predictable part by calculating brightness contrast masking and fuzzy masking measurement values; and carrying out nonlinear superposition on the JND threshold of the unpredictable content part and the JND threshold of the predictable part, and endowing edge pixels in different directions with different weights according to direction-based weight factors to obtain a final JND threshold of the image. Sensitivity of stimulation in different directions is adjusted by utilizing a human eye vision system, and the method can be used for obtaining a distortion threshold value whichcan be exactly perceived by the whole image.
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Description

technical field

[0001] The present invention relates to the technical field of image and video coding, in particular to a JND prediction method, device, computer equipment and storage medium for screen content images. Background technique

[0002] With the rapid development of Internet technology and multimedia information technology, more and more screen image / video data are generated, which brings great pressure to data compression, transmission and storage. In order to further improve the coding efficiency, it is currently a research hotspot in academia and industry to use the visual characteristics of human eyes to remove visual redundancy in images / videos. Studies based on physiology and psychology have shown that the human visual system has a visual masking effect in the process of image perception, that is, when the change in image pixel value is less than a certain threshold, the human eye cannot perceive any change in pixel value. It is just noticeable distortion (...

Claims

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