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Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

IEEE Transactions on Image Processing, 2018
Low-light image enhancement methods based on classic Retinex model attempt to manipulate the estimated illumination and to project it back to the corresponding reflectance. However, the model does not consider the noise, which inevitably exists in images
Mading Li   +4 more
semanticscholar   +1 more source

Image enhancement and restoration

1975
The aim of collecting data is to gain meaningful information about a phenomenon of interest. Unfortunately, often the phenomenon is not a direct physical observable. Instead, e.g., the data at hand may be a linear superposition of the desired quantities.
openaire   +2 more sources

Localized image enhancement

2014 Twentieth National Conference on Communications (NCC), 2014
Image enhancement is a well established field in image processing. The main objective of image enhancement is to increase the perceptual information contained in an image for better representation using some intermediate steps, like, contrast enhancement, debluring, denoising etc.
Saumik Bhattacharya   +2 more
openaire   +2 more sources

Radiometric Enhancement of Images

2012
Image analysis by photointerpretation is often made easier when the radiometric nature of an image is enhanced to improve its visual characteristics. Specific differences in vegetation and soil type, for example, may be brought out by increasing the contrast of an image.
openaire   +2 more sources

Image Enhancement Endoscopy

2007
Endoscopy altered the practice of gastroenterology by providing nonoperative access to the gastrointestinal (GI) tract and the pancreaticobiliary system. The detection of microscopic and biochemical changes within the mucosa and submucosa, however, has remained beyond the realm of routine endoscopy.
Michael B. Wallace, Stephan M. Wildi
openaire   +2 more sources

Low-light image enhancement based on virtual exposure

Signal processing. Image communication, 2023
Wencheng Wang   +6 more
semanticscholar   +1 more source

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2021
Fabian Isensee   +2 more
exaly  

Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
William A Hal, X Allen Li, Daniel A Low
exaly  

Local Color Distributions Prior for Image Enhancement

European Conference on Computer Vision, 2022
Haoyuan Wang, Ke Xu, Rynson W. H. Lau
semanticscholar   +1 more source

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