An efficient digital image compression scheme based on ICA for underwater color images
Jing Wang, Bo He, Shujing Zhang, Rui Nian, Yue Shen, Tianhong Yan · 2014
As one of the dominant techniques for sensing the underwater environments, underwater vision has shown great prospects in ocean investigations and explorations over the last decades. The vision system is usually installed on the platforms of autonomous underwater vehicles (AUVs). Due to the limitation of transmission and storage for underwater signals, it is extremely urgent to explore an efficient digital image compression approach for underwater color images. In this paper, an efficient digital image compression scheme based on independent component analysis (ICA) is proposed to deal with the redundancy reduction problem for underwater color images, taking account of the acceptable perceptual quality of reconstructed images.