No-reference image quality evaluation method based on Contourlet transform
An image quality evaluation and image technology, applied in the field of image processing, can solve problems such as inaccurate evaluation results and achieve good consistency
Inactive Publication Date: 2011-02-09
XIDIAN UNIV
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[0015] The purpose of the present invention is to overcome the problem of inaccurate evaluation results caused by the traditional non-reference image quality evaluation method, which only evaluates the image quality of a certain type of distortion, and provides a non-reference image quality evaluation method based on Contourlet transform. In order to realize the effective evaluation of image quality of more distortion types
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[0045] The core idea of the present invention is to use the multi-resolution and multi-directional characteristics of the Contourlet transform to effectively represent image structure features and direction information. By counting the joint histogram of the Contourlet coefficients and prediction coefficients, using the statistical characteristics of the image in the Contourlet domain to set the threshold T, and calculating the proportion of the entire histogram space occupied by the coefficients greater than or less than the threshold T in the joint histogram, the The proportion calculated by each sub-band is nonlinearly weighted and summed to obtain the objective quality score of the image.
[0046] refer to figure 1 , the concrete steps of the present invention are as follows:
[0047] 1. Image decomposition steps
[0048] Using the method of Contourlet transform to decompose the scale and direction of the image to be evaluated, the structural features such as smooth co...
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The invention discloses a no-reference natural image quality evaluation method based on Contourlet transform. The method is mainly used to solve the problem of differences between subjective and objective quality evaluation values in case of an unknown original image. The method comprises the following steps: performing multi-scale and multi-direction subband decomposition on a distorted image byContourlet transform; constructing a joint histogram of Contourlet coefficients and predictive coefficients in each decomposed subband by utilizing the correlation between Contourlet coefficients andcoefficients in the field; setting a threshold value to partition the joint histogram according to a characteristic that the Contourlet coefficients decreases by degrees as the image scale increases in a Contourlet domain; selecting a characteristic regions which can represent image quality from the partitioned histogram, and performing a nonlinear transformation on the regions to represent the subband quality; and finally obtaining the evaluation value of image quality by a weighted sum of the obtained quality value of each subband. The method has the advantage of being applicable to variousdistorted images and having objective evaluation well coincided with subjective evaluation, and can be used to evaluate an image processing method effectively.
Description
technical field [0001] The invention belongs to the technical field of image processing, in particular to an evaluation method for image quality, which can be used for image quality evaluation processing in the fields of image compression, image storage, image communication, image detection and the like. Background technique [0002] Images are obtained by observing the objective world in different forms and means with various observation systems, and can directly or indirectly act on the human eye to produce visual entities. About 75% of the information that humans get from the outside world is obtained from images. With the development of signal processing and computer science and technology, image engineering has also become a subject with rich content and rapid development. An image system includes image acquisition, display, storage, communication, processing and analysis. It is widely used in various fields of the national economy, such as: scientific research, indus...
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IPC IPC(8): H04N1/00
Inventor 高新波路文曾凯邓勤耕李洁
Owner XIDIAN UNIV