Method for extracting visual energy information for image quality evaluation

A technology of visual energy information and image quality evaluation, applied in the field of image processing, can solve the problems of high computational complexity and low accuracy of quality evaluation

Inactive Publication Date: 2013-01-02
ZHEJIANG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to propose a method for image quality evaluation process based on visual perception, which has defects such as low quality evaluation accuracy and excessive computational complexity caused by inefficient HVS simulation. A visual energy information extraction method for quality evaluation, and use this visual energy information as a benchmark for objective evaluation of image quality

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Embodiment Construction

[0041] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0042] like figure 1 As shown, the visual energy information extraction method for image quality evaluation, its specific implementation steps are as follows:

[0043] Step (1). Input the reference image I R and distorted image I D ;

[0044] Step (2). Establish a group of two-dimensional Gabor wavelet filters :

[0045] (1)

[0046] in, s represents the scale size, i is a positive integer, is the direction of rotation, f max is the highest frequency, B f is the frequency bandwidth, Δ U for the signal function f ( x , y ) Fourier transform form F ( U , V ) relative to the effective width of the U-axis, ω 0 =arctan( U / V ) represents its angle.

[0047] Step (3). Use the two-dimensional Gabor wavelet filter established in step (2) to filter the reference image I R ( x , y ) and the distorted image ...

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Abstract

The invention discloses a method for extracting visual energy information for image quality evaluation. According to the embodiment of the invention, the method comprises the following steps: 1) constructing a set of two-dimensional Gabor filter, and utilizing the two-dimensional Gabor filter to perform convolution treatment on inputted reference image and distorted image, thereby respectively extracting the image feature information of the reference image and the distorted image; 2) post-treating the extracted image feature information of the reference image and the distorted image through split normalization transformation; and 3) on the basis of the image feature information after being subjected to split normalization transformation treatment, respectively extracting the visual energy information of the reference image and the distorted image as the basis for evaluating the visual quality of the image. According to the method provided by the invention, the visual cortex response and the pretreatment system of the human visual system are effectively simulated, the extraction for the visual energy information is realized, and the objective evaluation and the subjective evaluation for the image quality on the basis of the method provided by the invention have excellent consistency.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a visual energy information extraction method for image quality evaluation. Background technique [0002] In the process of image acquisition, compression, storage, transmission and reconstruction, various distortions will be introduced, resulting in the loss of image quality. Image quality evaluation, that is, to evaluate the extent to which images meet the needs of human beings to obtain visual information and visual enjoyment, is an important indicator to measure the performance of image processing systems, and has become the basis and key of digital image processing technology research. It has important theoretical and Engineering value has received more and more attention. [0003] Image quality evaluation is mainly divided into subjective evaluation and objective evaluation. Although subjective evaluation is the most reliable image quality evaluation method, due ...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 丁勇张渊王翔段克峰张奥扬
Owner ZHEJIANG UNIV
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