J
Jichang Guo
Researcher at Tianjin University
Publications - 65
Citations - 3220
Jichang Guo is an academic researcher from Tianjin University. The author has contributed to research in topics: Computer science & Underwater. The author has an hindex of 20, co-authored 43 publications receiving 1641 citations.
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Journal ArticleDOI
Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior
TL;DR: Extensive experiments demonstrate that the proposed method achieves better visual quality, more valuable information, and more accurate color restoration than several state-of-the-art methods, even for underwater images taken under several challenging scenes.
Proceedings ArticleDOI
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
TL;DR: A novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network and shows that it generalizes well to diverse lighting conditions.
Journal ArticleDOI
Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer
TL;DR: Wang et al. as discussed by the authors proposed a weakly supervised color transfer method to correct color distortion, which relaxes the need for paired underwater images for training and allows the underwater images being taken in unknown locations.
Posted Content
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
TL;DR: Zhang et al. as discussed by the authors proposed a zero-reference deep curve estimation (Zero-DCE) method, which formulates light enhancement as a task of image-specific curve estimation with a deep network.
Journal ArticleDOI
LightenNet: a Convolutional Neural Network for weakly illuminated image enhancement
TL;DR: A trainable Convolutional Neural Network is proposed for weakly illuminated image enhancement, namely LightenNet, which takes a weakly illumination image as input and outputs its illumination map that is subsequently used to obtain the enhanced image based on Retinex model.