Results 71 to 80 of about 1,011 (209)
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
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
Implementation and application of Retinex algorithms to the preprocessing of retinography color images [PDF]
, 2009 La retinopatía diabética es una enfermedad causada por complicaciones de la retina, con evolución progresiva. Esta patología se detecta en las imágenes de fondo de ojo que, en la mayoría de los casos, presentan iluminación no uniforme.
Drozdowicz, B. (Bartolomé) +2 more
core
Analysis of retinal and cortical components of Retinex algorithms
, 2017 Following Land and McCann’s first proposal of the Retinex theory, numerous Retinex algorithms that differ considerably both algorithmically and functionally have been developed.
Jihyun Yeonan-Kim +3 more
core +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
core
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
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)
core
International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.Detecting breast cancer has always been a challenging task in medicinal field. Among various screening techniques, breast thermography proves to be a reliable technique. Though it aids in the diagnosis of tumors, its low color contrast between diseased and normal tissues makes it difficult to identify subtle image features and detect cancer in thick ...
Teresa Matoso Manguangua Victor +6 more
wiley +1 more source
Retinex theory-based shadow detection and removal in single outdoor image
, 2009 Shadows, the common phenomena in most outdoor scenes, bring many problems in practical image processing. Shadow detection and removal, especial in uncalibrated outdoor image, is still a difficult problem.
Tian JD(田建东) +3 more
core