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Image structure similarity matching
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Natural image has a very high structure, which is reflected in the strong correlation between the pixels of the image, especially in the case of spatial similarity. These correlations carry important information about the structure of objects in the visual scene. We assume that the human visual system (HSV) mainly obtains structural information from the visual area. Therefore, the approximate information of image distortion can be perceived by detecting whether the structure information changes or not. &Most error sensitivity based quality assessment methods (such as MSE, PSNR) use linear transform to decompose image signal, which does not involve correlation. SSIM is to find a more direct way to compare the structure of distorted image and reference image.
D-firefly
2018-01-18
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