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Image quality evaluating method based on multi-scale structure similarity weighted aggregate

A technology for image quality evaluation and structural similarity, which is applied in image communication, television, electrical components, etc., can solve the problem of not fully fitting the multi-layer visual characteristics of the human visual system, not considering the visual attention characteristics of the human eye, and accurate image quality evaluation issues of low sex

Inactive Publication Date: 2013-09-04
ZHEJIANG UNIV
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Problems solved by technology

However, the traditional method based on structural similarity has several defects: First, it does not consider the visual attention characteristics of the human eye, and cannot fully fit the multi-layer visual characteristics of the human visual system, resulting in poor evaluation accuracy of image quality. The second is the lack of consistency in the evaluation of image quality for different distortion types and different distortion intensities

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  • Image quality evaluating method based on multi-scale structure similarity weighted aggregate
  • Image quality evaluating method based on multi-scale structure similarity weighted aggregate
  • Image quality evaluating method based on multi-scale structure similarity weighted aggregate

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Embodiment Construction

[0038] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0039] Such as figure 1 As shown, the steps of the image quality evaluation method based on multi-scale structural similarity weighted synthesis are as follows:

[0040] Step (1). Read the original image and the distorted image respectively, and use the original image as a reference image;

[0041] Step (2). Carry out low-pass filtering processing on the reference image, and define the reference image after the low-pass filtering processing as the first scale reference image; perform iterative low-pass filtering and down-sampling processing on the first scale reference image to obtain the second A scale reference image is obtained by performing iterative low-pass filtering and down-sampling processing on the second scale reference image to obtain a third scale reference image, and so on, to obtain a fifth scale reference image;

[0042] Perform low-pass...

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Abstract

The invention discloses an image quality evaluating method based on multi-scale structure similarity weighted aggregate. The traditional method based on structure similarity has defects in many aspects, in the method disclosed by the invention, the visual attention characteristics and multilayer visual characteristics of a human visual system are fully considered to realize the weighted aggregate for the structure similarity in intra-scale and inter-scale manners, and the objective evaluation to a full reference image is carried out. The image quality evaluating method mainly comprises the steps of: in the scales, generating a weight coefficient of a corresponding image block based on visual saliency, and performing weighted aggregate on the structural similarity in the intra-scale manner; and among the scales, performing the weighted aggregate on the structure similarity in the inter-scale manner by using the weighted coefficient obtained through training or from experience.

Description

technical field [0001] The invention belongs to the technical field of digital video image quality evaluation, and relates to a full-reference objective image quality evaluation method based on multi-scale structural similarity weighted synthesis. Background technique [0002] Various distortions will be introduced in the process of video image acquisition, compression, storage, transmission and reconstruction, resulting in the loss of image quality. How to maximize the image quality under a certain cost condition, or improve the performance of image processing under the premise of ensuring the image quality, and design a system solution with the best cost performance become particularly important. As one of the key evaluation indicators of video image processing system performance, image quality evaluation is of great significance to improve the overall performance of the system. Therefore, efficient video image quality evaluation methods become the basis and key of digita...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N17/00
Inventor 丁勇张渊王翔张东高锦炜刘侃
Owner ZHEJIANG UNIV
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