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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

An Underwater Image Enhancement Benchmark Dataset and Beyond [PDF]

open access: yesIEEE Transactions on Image Processing, 2019
Underwater image enhancement has been attracting much attention due to its significance in marine engineering and aquatic robotics. Numerous underwater image enhancement algorithms have been proposed in the last few years.
Chongyi Li   +6 more
semanticscholar   +1 more source

FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information [PDF]

open access: yesACM Multimedia, 2023
Recently, Fourier frequency information has attracted much attention in Low-Light Image Enhancement (LLIE). Some researchers noticed that, in the Fourier space, the lightness degradation mainly exists in the amplitude component and the rest exists in the
Chenxi Wang, Hongjun Wu, Zhi Jin
semanticscholar   +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

UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space [PDF]

open access: yesSignal processing. Image communication, 2021
Underwater image enhancement has attracted much attention due to the rise of marine resource development in recent years. Benefit from the powerful representation capabilities of Convolution Neural Networks(CNNs), multiple underwater image enhancement ...
Yudong Wang   +3 more
semanticscholar   +1 more source

R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network [PDF]

open access: yesJournal of Visual Communication and Image Representation, 2021
Images captured in weak illumination conditions could seriously degrade the image quality. Solving a series of degradation of low-light images can effectively improve the visual quality of images and the performance of high-level visual tasks.
Jiang Hai   +6 more
semanticscholar   +1 more source

Controllable Image Enhancement

open access: yesCoRR, 2022
Editing flat-looking images into stunning photographs requires skill and time. Automated image enhancement algorithms have attracted increased interest by generating high-quality images without user interaction. However, the quality assessment of a photograph is subjective.
Heewon Kim, Kyoung Mu Lee
openaire   +2 more sources

Low-Light Image Enhancement with Normalizing Flow [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2021
To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise reconstruction losses and deterministic processes fail to capture the ...
Yufei Wang   +5 more
semanticscholar   +1 more source

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