Rapid Contrast Enhancement Algorithm for Natural Contrast- Distorted Color Images [PDF]
Al-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
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Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method [PDF]
AAAI Conference on Artificial Intelligence, 2022 As the quality of optical sensors improves, there is a need for processing large-scale images. In particular, the ability of devices to capture ultra-high definition (UHD) images and video places new demands on the image processing pipeline.
Tao Wang +5 more
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Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding [PDF]
IEEE Transactions on Image Processing, 2021 Underwater images suffer from color casts and low contrast due to wavelength- and distance-dependent attenuation and scattering. To solve these two degradation issues, we present an underwater image enhancement network via medium transmission-guided ...
Chongyi Li +5 more
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Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement [PDF]
Computer Vision and Pattern Recognition, 2020 The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network.
Chunle Guo +6 more
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U-Shape Transformer for Underwater Image Enhancement [PDF]
IEEE Transactions on Image Processing, 2021 The light absorption and scattering of underwater impurities lead to poor underwater imaging quality. The existing data-driven based underwater image enhancement (UIE) techniques suffer from the lack of a large-scale dataset containing various underwater
Lintao Peng, Chunli Zhu, Liheng Bian
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Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model [PDF]
IEEE International Conference on Computer Vision, 2023 In this paper, we rethink the low-light image enhancement task and propose a physically explainable and generative diffusion model for low-light image enhancement, termed as Diff-Retinex.
Xunpeng Yi +4 more
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PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators [PDF]
IEEE Transactions on Image Processing, 2023 Due to the light absorption and scattering induced by the water medium, underwater images usually suffer from some degradation problems, such as low contrast, color distortion, and blurring details, which aggravate the difficulty of downstream underwater
Runmin Cong +6 more
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Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement [PDF]
Computer Vision and Pattern Recognition, 2023 Low-light image enhancement (LLIE) investigates how to improve illumination and produce normal-light images. The majority of existing methods improve low-light images via a global and uniform manner, without taking into account the semantic information ...
Yuhui Wu +6 more
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Mine image enhancement method based on multi-scale local histogram equalization
Gong-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
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Depth Image Enhancement Algorithm Based on Fractional Differentiation
Fractal 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
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