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JND Threshold Calculation Method Based on Hierarchical Selective Visual Attention Mechanism

A visual attention and selective technology, applied in the field of image/video coding, can solve the problems of rarely considering the characteristics of the human visual system and psychological effects, and achieve the effect of good visual quality

Inactive Publication Date: 2016-08-24
TONGJI UNIV
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Problems solved by technology

[0002] Traditional image / video coding technology mainly compresses and codes spatial redundancy, time domain redundancy, and statistical redundancy, but rarely considers the characteristics and psychological effects of the human visual system, so a large amount of visual redundant data is encoded and transmitted , in order to further improve the efficiency of coding, the researchers started research on removing visual redundancy

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  • JND Threshold Calculation Method Based on Hierarchical Selective Visual Attention Mechanism
  • JND Threshold Calculation Method Based on Hierarchical Selective Visual Attention Mechanism
  • JND Threshold Calculation Method Based on Hierarchical Selective Visual Attention Mechanism

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Embodiment Construction

[0032] Below in conjunction with accompanying drawing, the present invention will be further described with specific example:

[0033] The example that the present invention provides adopts MATLAB7 as the emulation experiment platform, with the bmp color image of 768*512 (as figure 2 Shown) as the selected test image, the following describes this example in detail in conjunction with each step:

[0034] Steps (1) to (3) calculate the basic JND threshold, and the calculation method is the same as the calculation method of the JND model threshold proposed by Yang et al. in the prior art document 1.

[0035] Step (1), select the bmp color image of 768*512 as the input test image, calculate the adaptive threshold based on the background brightness for the image, and take the maximum value of the background brightness model and the spatial mask model as the adaptive threshold. Its calculation formula is as follows:

[0036] T l (x,y)=max{f 1 (bg(x,y),mg(x,y)),f 2 (bg(x,y))} (1)...

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Abstract

An image JND threshold calculation method based on a hierarchical selective visual attention mechanism in a pixel domain belongs to the technical field of image / video coding. The adopted technical solution includes the following steps: Step S1: Calculate the background brightness adaptive threshold for the original input image. Step S2: Calculate an edge-based texture masking threshold for the image. Step S3: Add the brightness adaptive threshold and the texture masking threshold obtained in steps S1 and S2, and subtract the overlapping part of the two to obtain the basic JND threshold. Step S4: According to the size of the input image, set the level value of the level selectivity. Step S5: down-sampling the original input image to different resolutions, and using the PQFT saliency detection method to perform saliency map detection on the image at different resolutions. Step S6: Upsample the saliency maps at different resolutions to the original image resolution size. and many more. The present invention accommodates more noise and has better visual quality.

Description

technical field [0001] The invention relates to the technical field of image / video coding. technical background [0002] Traditional image / video coding technology mainly compresses and codes spatial redundancy, time domain redundancy, and statistical redundancy, but rarely considers the characteristics and psychological effects of the human visual system, so a large amount of visual redundant data is encoded and transmitted , in order to further improve the efficiency of coding, researchers have started research on removing visual redundancy. At present, an effective method to represent visual redundancy is the least detectable distortion model based on psychology and physiology, referred to as the JND model, which can also be called the just detectable distortion model, that is, the changes that the human eye cannot perceive, due to various human eyes. The shielding effect means that the human eye can only perceive noise above a certain threshold, which is the just detecta...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/147H04N19/154
Inventor 张冬冬高利晶臧笛孙杳如
Owner TONGJI UNIV
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