Results 61 to 70 of about 5,381,311 (203)

Adaptive Multiple Layer Retinex-Enabled Color Face Enhancement for Deep Learning-Based Recognition

IEEE Access, 2021
Face image captured under uncontrolled illumination conditions is one of the most significant challenges for real-world human face recognition systems.
Duong Binh Giap, Tuyen Ngoc Le, Jing-Wein Wang, Chia-Nan Wang   +3 more
doaj   +1 more source

Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory

CoRR
This paper introduces a novel approach to illumination manipulation in diffusion models, addressing the gap in conditional image generation with a focus on lighting conditions. We conceptualize the diffusion model as a black-box image render and strategically decompose its energy function in alignment with the image formation model.
Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers   +5 more
openaire   +2 more sources

Research on Tunnel Pedestrian Detection Algorithm Based on Image Enhancement and Threshold Segmentation

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes a low‐light image enhancement and denoising algorithm tailored for tunnel scenes based on computer vision and deep learning technologies. On this basis, a tunnel pedestrian detection method based on connected domain dynamic threshold segmentation is designed, which can reduce the computational resources for identifying pedestrian ...
Yudan Tian, Tong Zhou, Dongchun Li, YuZhao Huang, Hua Huang   +4 more
wiley   +1 more source

Retinex Filtering of Underwater Images [PDF]

, 2020
This is the third work of a series which is discussing the applications that a Retinex filter can have for enhancing images. In the first paper, we considered the images from microscopes. In the second, we discussed how a Retinex filtering can help us in
Sparavigna, Amelia Carolina, Sparavigna, A. C.   +1 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

New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory

Journal of Electrical and Computer Engineering, 2015
A new river flow measurement method based on graphic process has been proposed recently, which gets the velocity in optical imaging modality through measuring the continuous displacement of floating debris, then reconstructs a two-dimensional river ...
Lili Zhang, Tanghuai Fan, Xin Wang, Cheng Kong, Xijun Yan   +4 more
doaj   +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

Low‐light image enhancement based on exponential Retinex variational model

IET Image Processing, 2021
Aiming at the problems of residual noise, low contrast, and limited detail information caused by low‐light images, this paper proposes a new Retinex variational model.
Xinyu Chen, Jinjiang Li, Zhen Hua
doaj   +1 more source