Multi-resolution JND (Just Noticeable Difference) model building method based on visual perception

A multi-resolution, visual perception technology, applied in the field of image processing, can solve problems such as visual redundant areas that cannot be well extracted, insufficient consideration of HVS characteristics, etc.

Inactive Publication Date: 2013-01-30
ZHEJIANG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to propose a multi-resolution JND model construction method based on visual perception for the existing JND

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  • Multi-resolution JND (Just Noticeable Difference) model building method based on visual perception
  • Multi-resolution JND (Just Noticeable Difference) model building method based on visual perception
  • Multi-resolution JND (Just Noticeable Difference) model building method based on visual perception

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Embodiment Construction

[0054] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0055] Such as figure 1 As shown, the multi-resolution JND model construction method based on visual perception, its specific implementation steps are as follows:

[0056] Step (1). Establish a multi-wavelet filter bank:

[0057] record k The scaling function is m k ( t ) and the k A wavelet function is n k ( t ),but k The vector expression of a scaling function is: M( t ) =[ m 1 ( t ) m 2 ( t ) m 3 ( t )… m k ( t )] T ,and then k A vector composed of wavelet functions is expressed as: N( t ) =[ n 1 ( t ) n 2 ( t ) n 3 ( t ) …n k ( t )] T . M( t ) and N( t ) Satisfy the following matrix refinement equation:

[0058] (1)

[0059] (2)

[0060] in, H for k x k Dimensional low-pass filter matrix, G for k x k Dimensional high-pass filter matr...

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Abstract

The invention discloses a multi-resolution JND (Just Noticeable Difference) model building method based on visual perception. The method comprises the steps of: 1. arranging a group of balanced multi-wavelet filters, and carrying out multi-channel wavelet decomposition on an input image through the group of balanced multi-wavelet filters; 2. respectively calculating a basic JND threshold, a luminance masking factor and a contrast masking factor of a luminance layer and a chroma layer, so as to simulate a space contrast sensitive function effect, a luminance self-adaptive masking effect and a contrast masking effect; and 3. respectively calculating to obtain a multi-resolution JND model based on visual perception by utilizing the luminance layer and the chroma layer. According to the multi-resolution JND model building method based on the visual perception, the characteristics of the human visual system are effectively simulated, and the multi-channel decomposition, the space contrast sensitive function effect, the luminance self-adaptive masking effect, the contrast masking effect and the like are compressively taken into account, so that the multi-resolution JND model based on the visual perception can be built; and the model can inject multiple noises, and also can keep the image to be in high visual quality after the noises are injected.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for constructing a multi-resolution JND model based on visual perception. Background technique [0002] Most of the core foundations of current video image processing algorithms use the mathematical and statistical characteristics of visual content, while the human perception characteristics of visual content are ignored. Since the human eye is the receiving terminal of visual products, it is very meaningful to develop a video image processing algorithm based on the characteristics of the human visual system (HVS). For an image, when the amount of change of a certain pixel in the image is greater than a certain visibility threshold, the human eye can just perceive the visual distortion. Just Noticeable Distortion (JND) refers to the maximum visibility threshold that can cause just noticeable distortion when the visual content changes. The Just Noticeable Disto...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N17/00
Inventor 丁勇张渊谢鹏宇李佳晨周帆申晓彤
Owner ZHEJIANG UNIV
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