基于HSI空间Retinex低照度图像增强算法.pdf

Journal of Image and Signal Processing 图像与信号处理, 2017, 6(1), 29-36 Published Online January 2017 in Hans. /journal/jisp /10.12677/jisp.2017.61004 Retinex Enhancement Algorithm for Low Intensity Images Based on HSI Space Xin Song, Shuhua Xiong, Xiaohai He, Pengxin Kang College of Electronic and Information Engineering, Sichuan University, Chengdu Sichuan th th th Received: Dec. 11 , 2016; accepted: Dec. 26 , 2016; published: Dec. 30 , 2016 Copyright © 2017 by authors and Hans Publishers Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). /licenses/by/4.0/ Open Access Abstract The images which are captured in low brightness environment are often blurred. The traditional Retinex algorithm can improve the quality of image; however enhancement phenomenon may oc- cur when the image brightness is low. In order to improve the quality of captured images in brightness environment, an improved multi-scale Retinex image enhancement algorithm based on HSI color space is proposed in this paper. In this algorithm, the guide image filtering is used to eliminate the “halo artifact”. The intensity of enhanced image based on multi-scale Retinex algo- rithm, is reconstructed by applying the intensity of original image. This effectively suppresses the distortion such as over-enhancement, and further enhances the image quality. Experimental re- sults show that for low-luminance image the proposed algorithm has better performance than the traditional multi-scale Retinex algorithm in brightness enhancement, contrast enhancement and image detail information protection. Keywords Low Brightne