Jianru Li

TL;DR: A fast level set model‐based method for intensity inhomogeneity correction and a spectral properties‐based color correction method to overcome obstacles in the wound healing process.

TL;DR: A novel joint guidance image de-scattering and physical spectral characteristics-based color correction method to enhance high turbidity underwater images and statistically outperforms state-of-the-art general purpose underwater image contrast enhancement algorithms.

TL;DR: A CONet architecture is proposed and described in detail; important and useful demonstration applications of the CONet are proposed; and future trends in CONet research are presented.

TL;DR: A novel deep-sea imaging method that compensates for the attenuation discrepancy along the propagation path, and an effective underwater scene enhancement scheme are described, characterized by a reduced noise level, better exposure of dark regions, and improved global contrast such that the finest details and edges are significantly enhanced.

TL;DR: An image super-resolution reconstruction algorithm that is based on color features is proposed and improves the reconstruction effect of the image edges and texture details, increases the image clarity, and enhances the image color recovery.