Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method [PDF]
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]
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]
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
U-Shape Transformer for Underwater Image Enhancement [PDF]
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
Low-Light Image Enhancement with Wavelet-Based Diffusion Models [PDF]
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
Uncertainty Inspired Underwater Image Enhancement [PDF]
A main challenge faced in the deep learning-based Underwater Image Enhancement (UIE) is that the ground truth high-quality image is unavailable. Most of the existing methods first generate approximate reference maps and then train an enhancement network ...
Zhenqi Fu +4 more
semanticscholar +1 more source
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement [PDF]
Ultra-High-Definition (UHD) photo has gradually become the standard configuration in advanced imaging devices. The new standard unveils many issues in existing approaches for low-light image enhancement (LLIE), especially in dealing with the intricate ...
Chongyi Li +6 more
semanticscholar +1 more source
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators [PDF]
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
Mine image enhancement method based on multi-scale local histogram equalization
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
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model [PDF]
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

