Image Enhancement Algorithm for Achieving Maximum of Perceived Grayscale Information of Human Visual System
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Graphical Abstract
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Abstract
In order to achieve the maximum of human eye perceived image information, an image enhancement algorithm with objective function was proposed considering human visual system brightness threshold characteristic. Firstly, put forward a method to obtain perceived image under the global grayscale map constraints, and make the mutual information between perceived image and the original image as objective function; Secondly, achieve a global optimum grayscale merger strategy by using dynamic programming algorithm to merge the grayscales which human eye could not distinguish; Finally, adjust the combined grayscale to maximize the objective function. Experimental results demonstrate the proposed algorithm has a good treatment effect, and the proposed objective function is reasonable and effective.
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