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Priori Knowledge Makes Low-Light Image Enhancement More Reasonable [PDF]

open access: yesSensors
This paper presents a priori knowledge-based low-light image enhancement framework, termed Priori DCE (Priori Deep Curve Estimation). The priori knowledge consists of two key aspects: (1) enhancing a low-light image is an ill-posed task, as the ...
Zefei Chen   +4 more
doaj   +2 more sources

Rapid Contrast Enhancement Algorithm for Natural Contrast- Distorted Color Images [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2021
Digital images are often obtained with contrast distortions due to different factors that cannot be avoided on many occasions. Various research works have been introduced on this topic, yet no conclusive findings have been made.
Asmaa Albakri, Zohair Al-Ameen
doaj   +1 more source

Mine image enhancement method based on multi-scale local histogram equalization

open access: yesGong-kuang zidonghua, 2023
There are problems of under-enhancement and over-enhancement in commonly mine image enhancement methods such as histogram equalization, Retinex theory, homomorphic filtering, wavelet analysis, etc.
TU Yihan, WANG Puqing
doaj   +1 more source

Depth Image Enhancement Algorithm Based on Fractional Differentiation

open access: yesFractal and Fractional, 2023
Depth image enhancement techniques can help to improve image quality and facilitate computer vision tasks. Traditional image-enhancement methods, which are typically based on integer-order calculus, cannot exploit the textural information of an image ...
Tingsheng Huang   +4 more
doaj   +1 more source

Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images

open access: yesApplied Sciences, 2023
Infrared images have the advantages of being employed in all weather conditions and exhibiting strong anti-interference abilities and are widely used in many fields.
Duo Zhang   +5 more
doaj   +1 more source

Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology

open access: yesJournal of Mathematics, 2022
In order to study the application of computer digital image processing technology in film and television (FAT) animation visual sensing expression, by studying the principle of digital image processing technology and visual sensing technology, a spatial ...
Lu Lian, Tong Lei
doaj   +1 more source

Significance of Enhancement Technique In Segmentation of Image and Signal: A Review of the literature [PDF]

open access: yesمجلة التربية والعلم, 2021
Significance of Enhancement Technique In Segmentation of Image and Signal: A Review of the literature Abstract: From the last 70 years, there is continuous development in the field of digital image processing such as geology, biology as well as in ...
ghada mohammad tahir kasim   +2 more
doaj   +1 more source

TXI: Texture and Color Enhancement Imaging for Endoscopic Image Enhancement [PDF]

open access: yesJournal of Healthcare Engineering, 2021
Recognition of lesions with subtle morphological and/or color changes during white light imaging (WLI) endoscopy remains a challenge. Often the endoscopic image suffers from nonuniform illumination across the image due to curvature in the lumen and the direction of the illumination light of the endoscope.
openaire   +2 more sources

Cformer: An underwater image enhancement hybrid network combining convolution and transformer

open access: yesIET Image Processing, 2023
Underwater images are the most direct and effective ways to obtain underwater information. However, underwater images typically suffer from contrast reduction and colour distortion due to the absorption and scattering of water by light, which seriously ...
Ruhui Deng, Lei Zhao, Heng Li, Hui Liu
doaj   +1 more source

Image Enhancement Algorithm Based on GAN Neural Network

open access: yesIEEE Access, 2022
Deep underwater color images have problems such as low brightness, poor contrast, and loss of local details. In order to effectively enhance low-quality underwater images, this paper proposes an enhancement method based on GAN (Generative Adversarial ...
Bo Xu, Dong Zhou, Weijing Li
doaj   +1 more source

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