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Complete reference image quality assessment method based on image edge difference statistical characteristic

A technology for image quality evaluation and statistical characteristics, applied in image communication, television, electrical components, etc., can solve problems such as lack of theoretical support for visual perception, complex process, etc.

Inactive Publication Date: 2009-07-22
XI AN JIAOTONG UNIV
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Problems solved by technology

The method is complex and lacks sufficient theoretical support for visual perception

Method used

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  • Complete reference image quality assessment method based on image edge difference statistical characteristic
  • Complete reference image quality assessment method based on image edge difference statistical characteristic
  • Complete reference image quality assessment method based on image edge difference statistical characteristic

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Embodiment approach

[0037] 1. The first type adopts the Laplacian of Gaussian operator (LOG) or DOG operator conforming to the characteristics of the visual receptive field to detect the zero crossing of the image to obtain the binary edge map of the image. Thus forming the image quality evaluation method called NSE-ZC. The LOG operator is defined as

[0038] LOG ( x , y , σ ) = ( x 2 + y 2 - 2 σ 2 ) σ 4 e - ( x 2 + y ...

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Abstract

The invention discloses a full-reference image quality assessment method based on an image edge difference statistical property comprising: firstly performs a multi-scale decomposition to the reference image and a distortion image; then detecting an image edge response under each scale based on the image multi-scale decomposition; obtaining a binary distribution diagram of the image edge; calculating an image edge difference statistical property by using the binary distribution diagram of the original image and the distortion image under different scales; finally mapping an image edge difference statistic to a psychological scale through a Weber-Fechner law, and carrying out normalization by using the total number of the original image edge points under each scale and obtaining a final assessment index of the image distortion. The full-reference image quality assessment method provided by the invention has advantages of stable performance, simple calculation, accurate prediction results, suitable for distinct types of distortion images, thus has great application prospect.

Description

technical field [0001] The invention belongs to a full-reference image quality evaluation method in the field of image quality evaluation, in particular to a full-reference image quality evaluation method based on statistical characteristics of image edge differences. Background technique [0002] Image quality assessment algorithms are widely used in various image processing fields. Traditional image quality evaluation methods are generally divided into two categories, subjective evaluation models and objective evaluation models. The subjective evaluation model is carried out under the specified environment and hardware equipment conditions. A group of observers conduct test experiments on distorted images. The observers give subjective scores according to their own feelings about image quality, experimental procedures and data analysis methods. The ITU organization has proposed detailed standards (VQEG: The Video Quality Experts Group, http: / / www.vqeg.org / .; VQEG.Final ...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N17/00H04N19/126H04N19/149H04N19/567
Inventor 牟轩沁张敏
Owner XI AN JIAOTONG UNIV
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