Results 61 to 70 of about 842,500 (318)

Invertible network for unpaired low-light image enhancement

The Visual Computer, 2023
Existing unpaired low-light image enhancement approaches prefer to employ the two-way GAN framework, in which two CNN generators are deployed for enhancement and degradation separately. However, such data-driven models ignore the inherent characteristics of transformation between the low and normal light images, leading to unstable training and ...
Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo   +3 more
openaire   +2 more sources

Convolutional Neural Network-Based Low Light Image Enhancement Method

Компьютерная оптика
With advances in science and technology, remote sensing images are vital for vegetation monitoring. The use of remote sensing allows for the collection of widespread, multi-temporal data on vegetation, leading to a better comprehension and management of ...
M.X. Li, C.J. Xu
doaj   +3 more sources

A Retinex-based Image Enhancement Scheme with Noise Aware Shadow-up Function

, 2018
This paper proposes a novel image contrast enhancement method based on both a noise aware shadow-up function and Retinex (retina and cortex) decomposition.
Chien, Chien Cheng, Kinoshita, Yuma, Kiya, Hitoshi, Shiota, Sayaka   +3 more
core   +1 more source

PESiT: Progressive Joint Enhancement and Blind Super-Resolution for Low-Light and Low-Resolution Images Under Total Variation Constraints

IEEE Access
Traditional enhancement techniques can improve the contrast of low-light and low-resolution images, but they fail to recover their resolution. Conversely, traditional super-resolution (SR) algorithms can enhance resolution but not restore contrast.
He Deng, Kai Cheng, Yuqing Li
doaj   +1 more source

DCTE-LLIE: A Dual Color-and-Texture-Enhancement-Based Method for Low-Light Image Enhancement

Computers
The enhancement of images captured under low-light conditions plays a vitally important role in the area of image processing and can significantly affect the performance of following operations.
Hua Wang, Jianzhong Cao, Lei Yang, Jijiang Huang   +3 more
doaj   +1 more source

DeepSelfie: Single-Shot Low-Light Enhancement for Selfies

IEEE Access, 2020
Taking a high-quality selfie photo in a low-light environment is challenging. Because the foreground and background often have different illumination conditions, they suffer heavily from over/under-exposure issues and cannot be treated in the same manner
Yucheng Lu, Dong-Wook Kim, Seung-Won Jung   +2 more
doaj   +1 more source

Deep Burst Denoising

, 2017
Noise is an inherent issue of low-light image capture, one which is exacerbated on mobile devices due to their narrow apertures and small sensors. One strategy for mitigating noise in a low-light situation is to increase the shutter time of the camera ...
A Foi, C Dong, C Dong, Chih-Yuan Yang, CRA Chaitanya, E Shelhamer, F Heide, F Heide, H Zhao, J Yang, JJ Hopfield, K Dabov, K Nasrollahi, K Zhang, M Everingham, M Gharbi, M Maggioni, O Ronneberger, PJ Werbos, S Farsiu, SW Hasinoff, Y Chen, Z Liu   +22 more
core   +1 more source

A Survey of Low-Light Image Enhancement

Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022
With the higher requirements of computer vision image enhancement of low-light image has become an important research content of computer vision. Traditional low-light image enhancement algorithms can improve image brightness and detailed visibility to varying degrees, but due to their strict mathematical derivation, such methods have bottlenecks and ...
Weiqiang Liu, Peng Zhao, Xiangying Song, Bo Zhang   +3 more
openaire   +2 more sources

Pre‐trained low‐light image enhancement transformer

IET Image Processing
Low‐light image enhancement is a longstanding challenge in low‐level vision, as images captured in low‐light conditions often suffer from significant aesthetic quality flaws.
Jingyao Zhang, Shijie Hao, Yuan Rao
doaj   +1 more source

A PRSZT Registry Analysis of Prognostic Factors Influencing Survival and Relapse Rates After Second Allogeneic Hematopoietic Stem Cell Transplantation in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm, Imme Haubitz, Rita Beier, Martin Zimmermann, Andrej Lissat, Peter Bader, Matthias Eyrich, Jan‐Henning Klusmann, Matthias Wölfl, Paul‐Gerhardt Schlegel, Verena Wiegering   +10 more
wiley   +1 more source