Results 61 to 70 of about 850,785 (317)

LLNet: A deep autoencoder approach to natural low-light image enhancement [PDF]

Pattern Recognition, 2015
In surveillance, monitoring and tactical reconnaissance, gathering visual information from a dynamic environment and accurately processing such data are essential to making informed decisions and ensuring the success of a mission.
Kin Gwn Lore, Adedotun Akintayo, S. Sarkar   +2 more
semanticscholar   +1 more source

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

Giant Light-Emission Enhancement in Lead Halide Perovskites by Surface Oxygen Passivation. [PDF]

, 2018
Surface condition plays an important role in the optical performance of semiconductor materials. As new types of semiconductors, the emerging metal-halide perovskites are promising for next-generation optoelectronic devices.
Huang, Jianmei, Kley, Christopher S, Lai, Minliang, Lee, Alex, Lei, Teng, Lin, Jia, Lin, Zhenni, Lu, Dylan, Rabani, Eran, Xie, Chenlu, Yang, Peidong, Zhang, Ye   +11 more
core   +3 more sources

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

Heralded phase-contrast imaging using an orbital angular momentum phase-filter [PDF]

, 2016
We utilise the position and orbital angular momentum (OAM) correlations between the signal and idler photons generated in the down-conversion process to obtain ghost images of a phase object.
Aspden, Reuben S., Chen, Qian, He, Ruiqing, Morris, Peter A., Padgett, Miles J.   +4 more
core   +2 more sources

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