颜色恒定性
人工智能
亮度
计算机视觉
计算机科学
水下
失真(音乐)
反射率
颜色校正
图像(数学)
反射(计算机编程)
图像复原
自然性
图像处理
光学
物理
电信
地质学
海洋学
量子力学
放大器
程序设计语言
带宽(计算)
作者
Xueyang Fu,Peixian Zhuang,Yue Huang,Yinghao Liao,Xiao–Ping Zhang,Xinghao Ding
标识
DOI:10.1109/icip.2014.7025927
摘要
Since the light is absorbed and scattered while traveling in water, color distortion, under-exposure and fuzz are three major problems of underwater imaging. In this paper, a novel retinex-based enhancing approach is proposed to enhance single underwater image. The proposed approach has mainly three steps to solve the problems mentioned above. First, a simple but effective color correction strategy is adopted to address the color distortion. Second, a variational framework for retinex is proposed to decompose the reflectance and the illumination, which represent the detail and brightness respectively, from single underwater image. An effective alternating direction optimization strategy is adopted to solve the proposed model. Third, the reflectance and the illumination are enhanced by different strategies to address the under-exposure and fuzz problem. The final enhanced image is obtained by combining use the enhanced reflectance and illumination. The enhanced result is improved by color correction, lightens dark regions, naturalness preservation, and well enhanced edges and details. Moreover, the proposed approach is a general method that can enhance other kinds of degraded image, such as sandstorm image.
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