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Image-level JND threshold prediction method and device, equipment and storage medium

An image-level, threshold technology, applied in image communication, image enhancement, image analysis and other directions, can solve the problem of inability to provide image-level JND threshold prediction method, large JND threshold prediction deviation, etc., to improve accuracy and reduce prediction deviation. Effect

Active Publication Date: 2020-06-19
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0005] The object of the present invention is to provide a method, device, equipment and storage medium for predicting an image-level JND threshold, aiming at solving the problem that the prior art cannot provide an effective The prediction method of the image-level JND threshold leads to a large deviation in the prediction of the JND threshold for the entire image

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  • Image-level JND threshold prediction method and device, equipment and storage medium
  • Image-level JND threshold prediction method and device, equipment and storage medium
  • Image-level JND threshold prediction method and device, equipment and storage medium

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Embodiment 1

[0025] figure 1 The implementation flow of the image-level JND threshold prediction method provided by Embodiment 1 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:

[0026] In step S101 , the trained multi-category perceptual distortion discriminator performs perceptual distortion discrimination on the image to be tested and the compressed images in the compressed image set corresponding to the image to be tested, to obtain a set of perceptual distortion discrimination results.

[0027] Embodiments of the present invention are applicable to image / video processing platforms, systems or devices, such as personal computers, servers, and the like. In the embodiment of the present invention, the images to be tested are compressed by different compression methods to obtain compressed images with different qualities, and all the compressed images with di...

Embodiment 2

[0044] figure 2 It shows the implementation process of step S101 in the first embodiment of the present invention provided by the second embodiment of the present invention to perform perceptual distortion judgment on the image to be tested and the compressed image. For the convenience of explanation, only the parts related to the embodiment of the present invention are shown, and the details are as follows :

[0045] In step S201, according to the preset image block size, the image to be tested and the compressed image are respectively divided into image blocks to obtain a corresponding set of image blocks to be tested and a set of compressed image blocks.

[0046] In the embodiment of the present invention, according to the preset image block size, the image x to be tested and the ith compressed image x corresponding to the image to be tested are respectively i Divide the image blocks to obtain the corresponding set of image blocks to be tested and the set of compressed im...

Embodiment 3

[0065] image 3 It shows the implementation flow of step S102 in the first embodiment provided by the third embodiment of the present invention to perform fault-tolerant processing on the perceptual distortion discrimination result set. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:

[0066] In step S301, according to the compressed image sequence corresponding to the perceptual distortion discrimination result set, slide the sliding window of the preset window size according to the preset sliding direction, and count the compressed images corresponding to the true value of the perceptual distortion discrimination result in the sliding window The number of compressed images, the sliding direction is from right to left or from left to right.

[0067] In the embodiment of the present invention, one perceptual distortion judgment result in the perceptual distortion judgment result se...

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Abstract

The method is suitable for the technical field of image / video compression, and provides an image-level JND threshold prediction method and device, equipment and a storage medium. The method comprisesthe following steps: performing perception distortion discrimination on the to-be-detected image and the compressed image in the compressed image set corresponding to the to-be-detected image throughthe trained multi-classification perception distortion discriminator. Obtaining a perception distortion discrimination result set; performing fault-tolerant processing on the perception distortion discrimination result set through an image-level JND search strategy; according to the method, the image-level JND threshold of the to-be-detected image is obtained through prediction, so that the prediction deviation of the image-level JND threshold is reduced, the prediction accuracy of the image-level JND threshold is improved, and the predicted JND threshold is closer to the perception of a humaneye vision system on the quality of the whole image.

Description

technical field [0001] The invention belongs to the technical field of image / video compression, and in particular relates to a method, device, equipment and storage medium for predicting an image-level JND threshold. Background technique [0002] Through the research on the human visual system, it is found that the perception of visual information by the human visual system is a non-uniform and non-linear information processing process. or content is selectively ignored or blocked. Based on the various shielding characteristics of the human visual system, the human eye cannot detect subtle changes in the image pixels below a certain threshold in the image, that is, changes that the human eye cannot perceive. The threshold is just noticeable distortion of the human eye (Just Noticeable Distortion, JND for short) threshold, which represents the visual redundancy in the image. The JND threshold describes the minimum image distortion that the human eye can perceive, reflecting...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/154G06T5/00G06N3/04
CPCH04N19/154G06T2207/20081G06T2207/20021G06T2207/30168G06N3/045G06T5/94
Inventor 张云刘焕华
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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