Image quality evaluating method based on visual character and structural similarity (SSIM)
A technology for image quality evaluation and structural similarity, applied in image analysis, image data processing, instruments, etc., can solve problems such as large, other squares, different sensitivity to distortion, unreasonable, etc.
Inactive Publication Date: 2010-10-06
XIAMEN UNIV
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In practical applications, the reference image and the image to be tested may have a relatively large difference in the brightness of each pixel in one square, while the pixels in the other square are more evenly distributed around the average brightness, and the average br
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Abstract
The invention discloses an image quality evaluating method based on visual character and structure similarity and relates to image quality evaluating. The method comprises the steps of: reading the pixel information of a reference image and an image to be evaluated, storing the read information in a matrix form and setting into matrixes x and y; dividing the spaces of the images into blocks unevenly and recording each block (n) so that the layouts of the image to be evaluated and the reference image are same; carrying out structural similarity (SSIM) index arithmetic on each block (n) of the reference image and the image to be evaluated; extracting the weight factor w(n) of each block (n); comprehensively weighting an SSIM index corresponding to each block (n) to obtain comprehensive image quality WMSSIM so as to finish the image quality evaluating method based on visual character and structure similarity.
Description
technical field The invention relates to an image quality evaluation, in particular to an objective image quality evaluation method based on an improved structural similarity algorithm. Background technique With the increase of mobile communication services, wireless communication has been widely used. The characteristics of the wireless communication environment (wireless channels, mobile terminals, etc.) and mobile multimedia application services are more and more support and optimization for image services and video services. With the diversification of wireless networks and the diversification and complexity of the wireless environment, the image signal will be lost during the transmission process, so the visual quality of the image is an important indicator to measure the system. At present, image quality evaluation methods can be divided into two categories: subjective evaluation and objective testing. The traditional subjective evaluation based on human visual obser...
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IPC IPC(8): G06T7/00
Inventor 黄联芬陈少俊林佳楠施芝元冯超李进锦
Owner XIAMEN UNIV
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