Results 11 to 20 of about 13,238,104 (357)
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
Low-Light Image Enhancement with Wavelet-Based Diffusion Models [PDF]
ACM Transactions on Graphics, 2023 Diffusion models have achieved promising results in image restoration tasks, yet suffer from time-consuming, excessive computational resource consumption, and unstable restoration.
Hailin Jiang +4 more
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
Pyramid Diffusion Models For Low-light Image Enhancement [PDF]
International Joint Conference on Artificial Intelligence, 2023 Recovering noise-covered details from low-light images is challenging, and the results given by previous methods leave room for improvement. Recent diffusion models show realistic and detailed image generation through a sequence of denoising refinements ...
Dewei Zhou, Zongxin Yang, Yi Yang
semanticscholar +1 more source
An Underwater Image Enhancement Benchmark Dataset and Beyond [PDF]
IEEE 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