Results 61 to 70 of about 1,011 (209)

Image retinex based on the nonconvex tv-type regularization [PDF]

, 2021
Retinex theory is introduced to show how the human visual system perceives the color and the illumination effect such as Retinex illusions, medical image intensity inhomogeneity and color shadow effect etc..
Duan, Yuping, Chen, K, Wang, Y, Pang, ZF, Wang, Yuan, Pang, Zhi-Feng, Chen, Ke, Duan, Y   +7 more
core   +1 more source

Low Light Image Adaptive Enhancement Algorithm Based on Retinex Theory [PDF]

Jisuanji kexue
Images in real-world environments are often shot under sub-optimal lighting conditions,resulting in insufficient brightness and poor visual experience.Existing low-light image enhancement methods are often complex in structure and focus on improving the ...
ZHENG Dichen, HE Jikai, LIU Yi, GAO Fan, ZHANG Dengyin
doaj   +1 more source

Dual‐Path Wavelet Transform Image Exposure Correction Algorithm

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes an image exposure correction method, combining wavelet transforms and deep learning. It uses a dual‐path approach: luminance‐related low‐frequency components are corrected by an exposure correction network, while texture‐detail high‐frequency components are enhanced by a residual network.
Kaicheng Xu, Xingchen Duan, Wei Zhao, Keqin Gan   +3 more
wiley   +1 more source

An Image Dehazing Algorithm for Underground Coal Mine Environments Based on Dual‐Channel Prior and Adaptive Contrast Enhancement

IET Image Processing, Volume 20, Issue 1, January/December 2026.
In this paper, we introduce a novel image dehazing algorithm based on dual‐channel prior adaptive contrast‐limited enhancement. The algorithm estimates model parameters from different perspectives based on dual‐channel prior knowledge and fuses the parameters according to the characteristics of each channel.
Chang Su, Dong Bing Xiang, Liang Liang Zhao, Jia Qing Meng, Jian Lu   +4 more
wiley   +1 more source

Pre‐Trained Codebook‐Based Enhancement: A Novel Approach for Clarifying Underwater Images

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This work presents a codebook‐driven enhancement network to tackle colour distortion and detail loss in underwater images. By aligning multi‐scale features with a pre‐trained VQGAN codebook and fusing shallow‐to‐deep cues, the method boosts contrast, edges and clarity without requiring large paired datasets.
Yuanxue Xin, Zhi Qiao, Xinnan Fan, Chen Guo, Bing Zhao   +4 more
wiley   +1 more source

GRASS: A Gradient-Based Random Sampling Scheme for Milano Retinex [PDF]

, 2017
Retinex is an early and famous theory attempting to estimate the human color sensation derived from an observed scene. When applied to a digital image, the original implementation of retinex estimates the color sensation by modifying the pixels channel ...
Michela Lecca, Alessandro Rizzi, A. Rizzi, Lecca, Michela, R. P. Serapioni, M. Lecca, Rizzi, Alessandro, Serapioni, Raul Paolo, Raul Paolo Serapioni   +8 more
core   +1 more source

Mean‐Local Binary Pattern‐Guided Multi‐Attention Network for Low‐Light Image Enhancement

IET Image Processing, Volume 20, Issue 1, January/December 2026.
Low‐light image enhancement struggles with noise amplification, residual dark areas, artefacts and detail loss. This paper presents the MGA‐LLIEN network, which uses M‐LBP for adaptive brightness adjustment and detail recovery while reducing noise and outperforms leading methods in tests. ABSTRACT Low‐light image enhancement faces key challenges: noise
Binxin Tang, Xianchun Zhou, Jiewen Tian, Mengnan Lv, Ying Zhang   +4 more
wiley   +1 more source

Point-based Spatial Color Sampling in Milano-Retinex : a Survey

, 2018
Milano-Retinex is a family of Retinex-inspired spatial colour algorithms mainly developed for colour image enhancement. According to the Retinex theory, a Milano-Retinex algorithm takes as input an RGB image and processes the colour intensities of each ...
Michela Lecca, Alessandro Rizzi, A. Rizzi, Simone, Gabriele, Lecca, Michela, Bonanomi, Cristian, Gabriele Simone, Cristian Bonanomi, C. Bonanomi, M. Lecca, Rizzi, Alessandro, G. Simone   +11 more
core   +1 more source

Development of Optimized Adaptive Multiscale Retinex Deep Learning Model for Image Enhancement

IEEE Access
High-quality image plays a crucial role in many applications, including medical diagnosis, communications and remote sensing and reflect the details of the target scene more clearly, which guarantee the subsequent image processing strongly.
Lakshmi Kumari, Neetu Mittal, Megha Modi
doaj   +1 more source

Document Image Binarization Using Retinex and Global Thresholding

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015
Document images are usually degraded in the course of photocopying, faxing, printing, or scanning. Degradation problems seems negligible to human eyes but can be responsible for an abrupt decline in accuracy by the current generation of optical character
Marian Wagdy, Ibrahima Faye, Dayang Rohaya   +2 more
doaj   +1 more source