Deep Learning through Sparse and Low-Rank Modeling

Chapter 10

Image Dehazing: Improved Techniques

Yu Liu^⁎; Guanlong Zhao^†; Boyuan Gong^†; Yang Li^⁎; Ritu Raj^†; Niraj Goel^†; Satya Kesav^†; Sandeep Gottimukkala^†; Zhangyang Wang^†; Wenqi Ren^‡; Dacheng Tao^{§    ⁎}Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, United States^†Department of Computer Science and Engineering, Texas A&M University, College Station, TX, United States^‡Chinese Academy of Sciences, Beijing, China^§University of Sydney, Sydney, NSW, Australia

Abstract

Image dehazing has been recently studied intensively in the fields of computational photography and computer vision, using deep learning approaches. Here we explore two related but important tasks based on the recently released REalistic ...