Results 51 to 60 of about 1,011 (209)

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

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

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

DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement

CoRR
Many existing methods for low-light image enhancement (LLIE) based on Retinex theory ignore important factors that affect the validity of this theory in digital imaging, such as noise, quantization error, non-linearity, and dynamic range overflow. In this paper, we propose a new expression called Digital-Imaging Retinex theory (DI-Retinex) through ...
Shangquan Sun, Wenqi Ren, Jingyang Peng, Fenglong Song, Xiaochun Cao   +4 more
openaire   +2 more sources

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

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

An Image Dehazing Method Based On an Improved Retinex Theory [PDF]

Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016), 2016
Image quality is often affected in many ways by the atmosphere, especially in foggy weather conditions. Dehazing is a highly demanded operation within the domain of image processing for various applications. The paper proposes a new single-image dehazing algorithm based on the single scale retinex (SSR) algorithm, combined with the theory of ...
Hong Wang, Peng Ge, Yilin Shan, EbtesamMohameed Alharbi   +3 more
openaire   +1 more source

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