Haar Wavelet-Based Attention Network For Image Dehazing

Measures for visual color differences (CDs) are pivotal in hardware and software upgrading of modern smartphone photography. Towards this goal, we construct currently the largest database for visual CDs for smartphone photography. Our database consists of 15335 natural images 1) captured by six latest flagship smartphones, 2) altered by Photoshop, 3) post-processed by built-in filters of smartphones, and 4) reproduced with incorrect color profiles. Moreover, we conduct a large-scale psychophysical experiment to gather visual CDs of 30000 image pairs from 20 human subjects in a well-designed laboratory environment. Last, we apply our human-rated database to compare a total of 27 classical and advanced CD metrics. We show that existing metrics are limited in assessing CDs of smartphone photography, and point out promising future directions of learning-based CD metrics.