Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images

no code implementations • 12 Jul 2019 • Xueyan Ding, Yafei Wang, Yang Yan, Zheng Liang, Zetian Mi, Xianping Fu

Different from most of previous underwater image enhancement methods that compute light attenuation along object-camera path through hazy image formation model, we propose a novel jointly wavelength compensation and dehazing network (JWCDN) that takes into account the wavelength attenuation along surface-object path and the scattering along object-camera path simultaneously.

Generative Adversarial Network Image Enhancement +1