14 September 2016 Adaptive overlapped sub-blocks contrast enhancement
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Abstract
In this paper, an overlapped sub-block gray-level average method for contrast enhancement is presented. The digital image correction of uneven illumination under microscope transmittance is a problem in image processing, also sometimes the image in the dark place need to correct the uneven problem. A new correction method was proposed based on the mask method and sub-blocks gray-level average method because Traditional mask method and background fitting method are restricted due to application scenarios, and the corrected image brightness is low by using background fitting method, so it has some limitations of the application. In this paper, we introduce a new method called AOSCE for image contrast enhancement. The image is divided into many sub-blocks which are overlapped, calculate the average gray-level of the whole image as M and the calculate the average gray-level of each one as mi, next for each block it can get d = mi - m, each block minus d to get a new image, and then get the minimum gray-level of each block into a matrix DD to get the background, and use bilinearity to get the same scale of the image. over fitting the image in matlab in order to get smoother image, then minus the background to get the contrast enhancement image.
Conference Presentation
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Anqiu Chen, Anqiu Chen, Fei Yuan, Fei Yuan, Jing Liu, Jing Liu, Siqi Liu, Siqi Liu, An Li, An Li, Zhenrong Zheng, Zhenrong Zheng, "Adaptive overlapped sub-blocks contrast enhancement", Proc. SPIE 9970, Optics and Photonics for Information Processing X, 99700Z (14 September 2016); doi: 10.1117/12.2235846; https://doi.org/10.1117/12.2235846
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