Results 71 to 80 of about 6,596,130 (203)

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

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, Jongchol Kim, Cholman Ri, Hyok Jo, Chonghyok Choi, Choljun Rim   +5 more
wiley   +1 more source

TradMS‐ResGAN: A Sequential Multi‐Stage Traditional Framework With Residual Multiscale GAN for Fast and Robust Sand‐Dust Image Restoration

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, Zahid Hussain, Pablo Otero Roth   +2 more
wiley   +1 more source

Mine image enhancement algorithm based on multi-scale fast bilateral filtering and wavelet transform

Meitan kexue jishu
Due 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, Dongyang HE, Hongwei FAN, Xu WANG, Wenqing HE, Zhaoxu YAN, Qianxi LI   +6 more
doaj   +1 more source

Machine Learning Classifier–Based Breast Thermography Enhancement Using Adaptive Multiaverage Gamma Correction for Breast Cancer Diagnosis

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, Ashok Vajravelu, Asmarashid Bin Ponniran, Arul Edwin Raj, Syed Riyaz Ahammed, Janani Selvam, Richard Murray   +6 more
wiley   +1 more source

A mine image enhancement method based on structural texture decomposition

Gong-kuang zidonghua
There is a phenomenon of low lighting and excessive dust in underground mines, which leads to uneven lighting, blurriness, and loss of details in the images captured by monitoring videos. It affects subsequent intelligent image recognition. Existing mine
ZHANG Hong, SUO Tingfeng, SONG Wanying
doaj   +1 more source

LEUKENet: An Explainable Deep Ensemble Framework for Automated Leukemia Detection Using Segmented and Nonsegmented Microscopy Images

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Acute lymphoblastic leukemia (ALL) is a critical hematological malignancy that requires rapid and accurate diagnosis. Most existing automated detection methods rely on segmented datasets and exhibit limited generalization to clinical microscopy images.
Nabajyoti Sharma, Anupoma Angasree Toma, Md. Saidur Rahman Kohinoor, Raid Al-Nima   +3 more
wiley   +1 more source

Enhancement of Mine Images through Reflectance Estimation of V Channel Using Retinex Theory

Processes
The dim lighting and excessive dust in underground mines often result in uneven illumination, blurriness, and loss of detail in surveillance images, which hinders subsequent intelligent image recognition.
Changlin Wu, Dandan Wang, Kaifeng Huang, Long Wu   +3 more
semanticscholar   +1 more source

RECAD: Retinex-Based Efficient Channel Attention with Dark Area Detection for Underwater Images Enhancement

Journal of Marine Science and Engineering
Focusing on visual target detection for Autonomous Underwater Vehicles (AUVs), this paper investigates enhancement methods for weakly illuminated underwater images, which typically suffer from blurring, color distortion, and non-uniform illumination ...
Tianchi Zhang, Qiang Liu, Hongwei Qin, Xing Liu   +3 more
doaj   +1 more source