Aug 2026· Signal, Image and Video Processing· Vol 20· 0 citations· 31 references
Computer Science
TL;DR
Experimental results show that the proposed approach achieves better contrast enhancement, noise suppression, and color preservation compared with other methods, and the lightweight architecture and low computational complexity make the method suitable for practical low-light image enhancement applications.
Results indicate that the proposed luminance–chroma collaborative design effectively improves reconstruction fidelity and structural preservation under the evaluated low-light conditions.
Mingxuan Chen, Benxue Sun, Chen Sun et al.· Multimedia Systems· 0 citations
WREN is an LLIE neural network with double U-Net-like structures trained end-to-end with a scale-invariant loss function, which gives robustness against the illumination scaling, and achieves the state-of-the-art performance across multiple datasets.
Reina Kaneko, Junya Hara, Hiroshi Higashi et al.· International Conference on...· 0 citations
Results validate the effectiveness and robustness of the proposed illumination-aware modeling strategy for low-light image enhancement, IA2former, which effectively captures long-range dependencies, improves detail restoration, and preserves spatial structures under challenging illumination conditions.
Tian-Qi Jiang· Poster Volume 0007 The 2026...· 0 citations
This work validates the design effectiveness of decoupling global and local representations within a frozen backbone, and establishes a new baseline for parameter-efficient enhancement.
Yan-Peng Cao, Yue Wang, Ming-Hui Liang et al.· Pattern Analysis and Applica...· 0 citations
An optimized restoration framework based on deep residual networks that incorporates a multi-scale residual learning architecture, enhanced skip-connection mechanisms, and a channel attention module to improve blur feature representation, training efficiency, and color information utilization is proposed.
SF-GAL, a prior-calibrated spatial-frequency Retinex decomposition framework for unsupervised low-light image enhancement, which calibrates a CLAHE-derived structural prior, decomposes low-light features through complementary spatial and wavelet branches, and uses structure-guided frequency modulation to regulate frequ...
Xin-Hua Dong, Yu Gao, Hongmu Han et al.· The Visual Computer· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
