Image quality evaluation method and system based on foveal gradient structure similarity
An image quality evaluation and gradient structure technology, applied in the field of image processing, can solve the problem of inaccurate evaluation of severely distorted images
Inactive Publication Date: 2018-11-23
WUHAN UNIV
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[0012] The purpose of the present invention is to solve the problem of inaccurate evaluation of severely distorted images by the current image quality evaluation method, and to provide an image quality evaluation based on gradient structure similarity of foveal vision under the condition of fully considering the perception characteristics of the human visual system method and system
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[0070] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:
[0071] Such as figure 1 , the implementation of the image quality evaluation method based on the gradient structure similarity of fovea vision provided by the embodiment includes the following processing procedures: first, define the gradient structure as gradient magnitude and gradient direction; secondly, perform fovea vision on the gradient map of the original image processing; finally, combining gradient structure and fovea vision characteristics, an image quality assessment method based on gradient structure similarity of fovea vision (FGSSIM) is obtained, and the image quality assessment result is obtained.
[0072] The defined gradient structure includes the following steps:
[0073] Step1.1, for the original image and the distorted image, respectively use the Sobel operator to calculate the horizontal gradient of the image and the vertical gradient...
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The invention provides an image quality evaluation method and system based on foveal vision gradient structural similarity. A gradient structure is defined to include a gradient amplitude and a gradient direction. Foveal vision processing is carrying out on a gradient image of an original image, evaluation is finally carried out based on the gradient structure and foveal vision characteristics, and an image quality evaluation result based on the foveal vision gradient structural similarity is obtained. According to the invention, the image quality is evaluated by the foveal vision gradient structural similarity, and compared with a peak signal to noise ratio and simple structural similarity algorithms, the evaluation effect is better, the correlation between the evaluation result and a subjective evaluation result is larger, the error is smaller, and the effect is better especially for the evaluation of seriously-distorted images.
Description
technical field [0001] The invention relates to a technical solution for image quality evaluation, in particular to a technical solution for image quality evaluation based on gradient structure similarity of fovea vision, belonging to the field of image processing. Background technique [0002] As a tool for information expression and communication, digital images have been widely used. However, digital images inevitably introduce noise in the process of acquisition, compression, transmission, processing, and reconstruction, resulting in image distortion. [1] . Therefore, how to accurately evaluate image quality has become an important content in the field of digital image processing. [0003] Image quality evaluation can generally be divided into subjective evaluation methods and objective evaluation methods. The final observer of the subjective evaluation method is a human being, so the evaluation is the most accurate. However, this method requires repeated experiments...
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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 金伟正黄奇华陶琴杨光义
Owner WUHAN UNIV