Results 71 to 80 of about 5,381,311 (203)
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 +4 more
wiley +1 more source
Development of Optimized Adaptive Multiscale Retinex Deep Learning Model for Image Enhancement
IEEE AccessHigh-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 +2 more
doaj +1 more source
LCH‐Net: A Lightweight OKLCH‐Space Decoupling Network for Archival Image Enhancement
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study puts forward the LCH‐Net framework. This method processes lightness, chroma and hue separately in the OKLCH colour space: the lightness adjustment sub‐network adaptively regulates illumination via a learnable lightness curve; the chroma adjustment sub‐network combines frequency‐domain and spatial‐domain denoising to suppress noise while ...
Liyang Yu, Ruilin Deng, Huaying Liu
wiley +1 more source
Illumination Normalisation for Face Recognition Using Generative Adversarial Network
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper proposes a novel face illumination normalisation method for robust face recognition by combining Retinex theory with generative adversarial networks (GANs). The approach decomposes face images into illumination‐invariant reflectance and illumination components, and then reconstructs normalised images using an adversarial network, achieving ...
Kwangchol Sok +5 more
wiley +1 more source
Shadow Detection and Removal from Solo Natural Image Based on Retinex Theory
, 2008 Shadows are physical phenomena observed in most natural scenes. They can cause many problems in computer vision performance. The paper addresses the problem of shadow detection and removal from solo image of natural scenes. Our method is based on Retinex
Du YK(杜英魁) +2 more
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IET Image Processing, Volume 20, Issue 1, January/December 2026.Sand‐dust degradation significantly reduces visibility, colour fidelity, and structural detail in outdoor imaging systems. This paper proposes TradMS‐ResGAN, a sequential multi‐stage restoration framework that combines a physically interpretable enhancement pipeline with a lightweight multi‐scale residual GAN for refined texture reconstruction and ...
Muhammad Masood +2 more
wiley +1 more source
Mine image enhancement algorithm based on multi-scale fast bilateral filtering and wavelet transform
Meitan kexue jishuDue to complex geological conditions and unevenly artificial lighting in underground coal mines, surveillance video images often exhibit non-uniform illumination, detail loss, and low contrast.
Yuanbin WANG +6 more
doaj +1 more source
Enhanced Illumination for Robust Steel Wire Rope Damage Detection Using IRetinexformer and LIME
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study proposes a novel surface damage detection method for mine hoisting steel wire ropes (HSWRs) that integrates an improved Retinexformer with BM3D denoising and the LIME algorithm to address challenges of uneven illumination and shadow occlusion in low‐light conditions.
Fengzhong Sun +5 more
wiley +1 more source
Color transfer and Retinex theory based illumination invariance
, 2007 The paper proposes a novel algorithm based on Retinex theory and color transfer to get illumination invariance among images, taking one of the images as a reference.
Sun J(孙静), Tang YD(唐延东)
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