Adaptive underwater image enhancement based on color compensation and fusion
SIGNAL IMAGE AND VIDEO PROCESSING(2023)
摘要
Underwater images typically suffer from color deviation, low contrast and poor visibility. To deal with these problems, we propose an adaptive underwater image enhancement method based on color compensation and fusion. We first apply adaptive color compensation to the original underwater image, followed by color correction. And we continue to apply local adaptive contrast enhancement to the color-corrected image. Finally, we combine the contrast-enhanced image with the color-corrected image using a multi-scale fusion technique. The algorithm can more successfully increase underwater image deviation and blurring, as well as image contrast and local detail enhancement, according to experiments, which demonstrate that it is more adaptable to varied underwater scene types than existing methods.
更多查看译文
关键词
Underwater image enhancement,Color compensation,Color correction,Local adaptive contrast enhancement,Image fusion
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要