Results 51 to 60 of about 6,596,130 (203)

Global Advances in Hepatocellular Carcinoma Research and Therapy in 2025

Cancer Innovation, Volume 5, Issue 2, April 2026.
This review summarizes key breakthrough advances in hepatocellular carcinoma (HCC) reported in 2025 and presents a multidisciplinary management framework for HCC, integrating early diagnosis, microenvironment insights, and comprehensive therapeutic strategies spanning minimally invasive surgery, locoregional interventions, and systemic pharmacotherapy.
Bo Hu, Qiang Gao
wiley   +1 more source

Retinex theory for color image enhancement: A systematic review

International Journal of Electrical and Computer Engineering (IJECE), 2019
<span>A short but comprehensive review of Retinex has been presented in this paper. Retinex theory aims to explain human color perception. In addition, its derivation on modifying the reflectance components has introduced effective approaches for images contrast enhancement.
Ruaa Riyadh Hussein, Yaser Issam Hamodi, Rooa Adnan Sabri   +2 more
openaire   +3 more sources

Assessing the effectiveness of texture and color enhancement imaging versus white‐light endoscopy in detecting gastrointestinal lesions: A systematic review and meta‐analysis

DEN Open, Volume 6, Issue 1, April 2026.
Abstract Introduction Gastrointestinal cancers account for 26% of cancer incidence and 35% of cancer‐related deaths globally. Early detection is crucial but often limited by white light endoscopy (WLE), which misses subtle lesions. Texture and color enhancement imaging (TXI), introduced in 2020, enhances texture, brightness, and color, addressing WLE's
Muhammad Shahzil, Talha Bin Kashif, Zainab Jamil, Muhammad Ali Khaqan, Luqman Munir, Zunaira Amjad, Muhammad Saad Faisal, Ammad Javaid Chaudhary, Hassam Ali, Shahryar Khan, Ikponmwosa Enofe   +10 more
wiley   +1 more source

Multi-channel low-light image enhancement method based on global robust Retinex model

Shenzhen Daxue xuebao. Ligong ban
In response to the issues where existing illumination enhancement methods ignore the changes in hue and saturation under different lighting conditions, resulting in the loss of excessive detail information while suppressing noise, we propose a global ...
WU Hanning, YI Jizheng, LI Xiaoyao, LI Sijia   +3 more
doaj   +1 more source

Low-light image enhancement based on Retinex theory for beam-splitting prism system

Journal of Physics, Conference Series, 2023
The existing color image enhancement methods are utilized for the most part to directly improve the color image that is obtained through the use of a Bayer array camera, whereas the color image that is obtained through the use of a prism camera is the ...
Hao-xuan Liu, Wenwen Zhang, Weiji He
semanticscholar   +1 more source

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 272-290, February 2026.
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti, Akiko Kato, Vahid Seydi, Stefan Schoombie, Jefferson T. Hinke, Ruth Joy, Damian C. Lidgard, W. Chris Oosthuizen, Yannis P. Papastamatiou, Yan Ropert‐Coudert, Akinori Takahashi, Jean‐Baptiste Thiebot, Muriel Visani, Mickael Coustaty, Tiphaine Jeanniard‐du‐Dot   +14 more
wiley   +1 more source

Retinex decomposition based low‐light image enhancement by integrating Swin transformer and U‐Net‐like architecture

IET Image Processing
Low‐light images are captured in environments with minimal lighting, such as nighttime or underwater conditions. These images often suffer from issues like low brightness, poor contrast, lack of detail, and overall darkness, significantly impairing human
Zexin Wang, Letu Qingge, Qingyi Pan, Pei Yang   +3 more
doaj   +1 more source

Image haze removal based on rolling deep learning and Retinex theory

IET Image Processing, 2022
Multispectral remote sensing images are a very important data source, but its acquisition process is often affected by haze weather and other factors, resulting in the decline of image quality, blurred details and poor visual effect, which seriously ...
Shiqi Huang, Jie Xu, Zhigang Liu, Ke Sun, Ying Lu   +4 more
doaj   +1 more source

Properly Speaking, Sir Isaac Newton Was the First Perceptual Psychologist and, Therefore, the First Psychologist

Color Research &Application, Volume 51, Issue 1, January/February 2026.
Newton’s insight that “the rays are not colored” anticipated a constructivist view of perception in which physical stimuli provide input but perceptual qualities arise from neural processing. Framed by Newton’s view, early sensory psychology and modern neuroscience converged on the conclusion that color is an internally generated percept, shaped by ...
Billy R. Wooten, Billy R. Hammond
wiley   +1 more source

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