Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images. [PDF]
BMC Med ImagingBackground The quality of low-light endoscopic images involves applications in medical disciplines such as physiology and anatomy for the identification and judgement of tissue structures.
Mou E +7 more
europepmc +2 more sources
An Empirical Study on Retinex Methods for Low-Light Image Enhancement
Remote Sensing, 2022 A key part of interpreting, visualizing, and monitoring the surface conditions of remote-sensing images is enhancing the quality of low-light images.
Muhammad Tahir Rasheed +4 more
doaj +3 more sources
Low-light image enhancement method based on retinex theory and dual-tree complex wavelet transform
Journal of King Saud University: Computer and Information SciencesImage quality in low-light environments is typically poor, characterized by low contrast, reduced visibility, and sensor noise. These issues not only impair human visual perception but also pose significant challenges for computer vision tasks.
Yuqian Zhang +6 more
doaj +2 more sources
Low-Illumination Road Image Enhancement by Fusing Retinex Theory and Histogram Equalization
Electronics (Switzerland), 2023 Low-illumination image enhancement can provide more information than the original image in low-light scenarios, e.g., nighttime driving. Traditional deep-learning-based image enhancement algorithms struggle to balance the performance between the overall ...
Xiangyong Chen, Li Zhuo, Ping Han
exaly +2 more sources
DCD-Net: Decoupling-Centric Decomposition Network for Low-Light Image Enhancement [PDF]
SensorsThis paper presents a Decoupling-Centric Decomposition network for Low-Light Image Enhancement (DCD-Net). The DCDNet addresses two key challenges: (1) existing methods center on how to design the enhancement network and ignore the decomposition network’s
Wei Wang +3 more
doaj +2 more sources
DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement
CoRRMany 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 +4 more
openaire +3 more sources
A TV Bregman iterative model of Retinex theory
Inverse Problems and Imaging, 2012 A feature of the human visual system (HVS) is color constancy, namely, the ability to determine the color under varying illumination conditions. Retinex theory, formulated by Edwin H. Land, aimed to simulate and explain how the HVS perceives color.
Stanley Osher
exaly +2 more sources
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory
CoRRThis 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 +5 more
openaire +3 more sources
Retinex-Based Relighting for Night Photography
Applied Sciences, 2023 The lighting up of buildings is one form of entertainment that makes a city more colorful, and photographers sometimes change this lighting using photo-editing applications.
Sou Oishi, Norishige Fukushima
doaj +1 more source
Optimization algorithm for low‐light image enhancement based on Retinex theory
IET Image Processing, 2023 To improve the visual quality of low‐light images and discover hidden details in images, an image enhancement algorithm is proposed, which is based on a fast and robust fuzzy C‐means (FRFCM) clustering algorithm combined with Retinex theory.
Jie Yang +5 more
doaj +1 more source