An Improved Image Blur Contrast Enhancement Algorithm
Wenyan Chen, Junyu Yang, Siyuan Li, Langfei Dang, Changxuan Zhao · 2019
Aiming at the low noise area in the image enhancement process, the traditional image blur contrast enhancement algorithm introduces noise. An image blur contrast enhancement algorithm combining platform histogram and fuzzy set theory is proposed. First of all, the grayscale image is processed by the platform histogram to improve the overall contrast of the image and reduce the original image noise. Then the image is mapped from the spatial domain to the fuzzy domain, and the hyperbolic enhancement function is selected to enhance it in the fuzzy domain. The image switch back to the spatial domain to get an enhanced image. The experimental results show that the proposed algorithm can effectively improve the information entropy and mean of the image, and effectively preserve the overall information of the image while enhancing the contrast of the image.