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JND prediction method and device based on direction weight, computer equipment and storage medium

A prediction method, JND technology, applied in the field of image and video coding, can solve the problem of not taking into account the effect of blurring and masking

Pending Publication Date: 2021-03-02
SHENZHEN UNIV
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Problems solved by technology

However, direction-based weighting factors are not specifically tuned precisely for contrast masking in existing JND models.
In addition, when the image blur is less than a certain degree, it will not be perceived by the human eye, so the masking of the image blur by the human eye should also be taken into account in the JND model. Impact on Forecast Results

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  • JND prediction method and device based on direction weight, computer equipment and storage medium
  • JND prediction method and device based on direction weight, computer equipment and storage medium
  • JND prediction method and device based on direction weight, computer equipment and storage medium

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[0056] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0057] In one embodiment, such as figure 1 As shown, a JND prediction method based on direction weight is provided, which includes:

[0058] Step 102, acquiring an input image to be predicted;

[0059] Step 104, using the Prewitt operator to calculate the horizontal direction gradient and the vertical direction gradient of the pixel in the image to obtain the direction of the corresponding pixel;

[0060] Step 106, calculating the weighting factors corresponding to different directions according to the sensitivity difference of human eyes to different directions;

[006...

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Abstract

The invention relates to a JND prediction method and device based on direction weight, computer equipment and a storage medium. The method comprises the steps of obtaining an input to-be-predicted image; calculating the horizontal direction gradient and the vertical direction gradient of the pixel points in the image by using a Prewitt operator to obtain the directions of the corresponding pixel points; calculating weight factors corresponding to different directions according to the sensitivity difference of human eyes to different directions; respectively calculating a contrast masking metric value, a fuzzy masking metric value and a brightness masking metric value according to the brightness characteristic value in combination with the weight factor; and carrying out nonlinear superposition on the contrast masking metric value, the fuzzy masking metric value and the brightness masking metric value to obtain a final JND prediction value. According to the method, the pixel contrast masking metric values in different directions are adjusted to different degrees in combination with human eye visual characteristics, so that the contrast masking metric value corresponding to a place with relatively high sensitivity is smaller, and the contrast masking metric value corresponding to a place with relatively low sensitivity is larger.

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 based on directional weights. 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 distortio...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10016G06T2207/10004G06T5/90G06T5/70
Inventor 王妙辉刘雪芹
Owner SHENZHEN UNIV
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