Objective non-reference image quality evaluation method based on independent subspace analysis

An objective quality evaluation and independent subspace technology, applied in the field of image processing, can solve the problem of no reference images and few, and achieve good image quality evaluation effect

Inactive Publication Date: 2015-12-09
ZHEJIANG UNIV
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Problems solved by technology

At present, there are relatively few studies on the quality evaluation of non-reference images, and the core problem is how to extract high-quality image feature information.

Method used

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  • Objective non-reference image quality evaluation method based on independent subspace analysis
  • Objective non-reference image quality evaluation method based on independent subspace analysis
  • Objective non-reference image quality evaluation method based on independent subspace analysis

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Embodiment Construction

[0046] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0047] As shown in Figure 1, the no-reference image quality objective evaluation method based on independent subspace analysis, its specific implementation steps are as follows:

[0048] Step (1). Programming is carried out under the Matlab environment, the original pictures in the LIVE image database of the University of Texas at Austin are sequentially numbered, and 29 original images are read in a loop.

[0049] Step (2). The image read in step (1) is divided into several 32×32 image blocks to form a vector with a dimension of 1024.

[0050] In this embodiment, since the images in the LIVE database have different sizes, step (2) of the present invention enlarges the images whose length and width cannot be divisible by 32 to an integer multiple of 32 through interpolation processing.

[0051]Step (3). Perform division and normalization processing on th...

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Abstract

The invention discloses an objective non-reference image quality evaluation method based on independent subspace analysis. The method comprises steps that, 1, independent subspace analysis on mass original images in a widely-known database is carried out to obtain a series of relatively independent image characteristics, histogram distribution statistics is carried out, and an edge distribution statistics curve is obtained by employing generalized Gaussian density (GGD) model and is taken as a benchmark reference; 2, image characteristics of to-be-measured distorted images are extracted based on independent subspace analysis, and the GGD model is employed to obtain statistics distribution of the characteristic information; and 3, the distorted image characteristic information statistics distribution obtained through processing and benchmark reference statistics distribution are contrasted, and European style distances corresponding to all integrated characteristic information are measured and accumulated and are taken as quality tolerance of the to-be-measured distorted images. Through the method, objective image quality evaluation and subjective evaluation have good consistency, and the method has better performance compared with traditional image quality evaluation methods.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an objective evaluation method of image quality without reference based on independent subspace analysis. Background technique [0002] Image quality evaluation refers to the use of certain evaluation standards to measure the quality loss of images in the process of acquisition, processing, transmission and storage. It will help monitor and evaluate image quality, evaluate and optimize the performance of image processing system. At present, image quality evaluation has become an important research content in the field of image processing, and has important theoretical research and engineering application value. [0003] Due to the shortcomings of time-consuming, laborious and non-repeatable subjective evaluation methods of image quality, it is very necessary to develop objective evaluation methods based on artificial intelligence and other technologies to ac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 丁勇陈宏达戴行钱大宏赵新宇李楠
Owner ZHEJIANG UNIV
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