Results 61 to 70 of about 22,622,900 (184)

Image resolution enhancement using dual-tree complex wavelet transform [PDF]

, 2010
In this letter, a complex wavelet-domain image resolution enhancement algorithm based on the estimation of wavelet coefficients is proposed. The method uses a forward and inverse dual-tree complex wavelet transform (DT-CWT) to construct a high-resolution
Tjahjadi, Tardi, Çelik, Turgay
core   +1 more source

Low-Light Homomorphic Filtering Network for integrating image enhancement and classification

, 2021
Low-light image (LLI) enhancement techniques have recently demonstrated remarkable progress especially with the use of deep learning approaches. However, most existing techniques are developed as standalone solutions and do not take into account the ...
Tekli, Joe, Al Sobbahi, Rayan
core   +1 more source

Row–Column Separated Attention Based Low‐Light Image/Video Enhancement

U‐Net structure is widely used for low‐light image/video enhancement. The enhanced images result in areas with large local noise and loss of more details without proper guidance for global information.
Cao, Zhiyuan, Dong, Chengqi, Gao, Yixing, Qi, Tuoshi, Wu, Kexin, Tang, Fan   +5 more
core   +1 more source

Simplifying Low-Light Image Enhancement Networks with Relative Loss Functions [PDF]

, 2023
Image enhancement is a common technique used to mitigate issues such as severe noise, low brightness, low contrast, and color deviation in low-light images.
Wu, Junde, Wang, Yue, Xu, Yanwu, Di, Xiaoguang, Zhang, Yu, Li, Yong, Yang, Guohui, Wang, Chunhui, Fu, Rao   +8 more
core   +1 more source

DEEP LEARNING-BASED LOW LIGHT IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY

, 2023
Low light conditions pose significant challenges for image capture and processing, leading to degraded image quality with reduced visibility and increased noise.
N.Baby rani, A. Joshna, B. Neelima, Ch. Varsha, G. Nikitha
core   +1 more source

Low-Light Image Enhancement Based on Cell Vibration Energy Model and Lightness Difference

Low-light image enhancement algorithms play a crucial role in revealing details obscured by darkness in images and substantially improving overall image quality.
X Lei (8002874), M Fei (7728962), Z Fei (8285622), W Zhou (7715300), Huiyu Zhou (535329)   +4 more
core   +5 more sources

Edge and Color Information Guided High-resolution Low-light Image Enhancement Algorithm [PDF]

Jisuanji kexue
The ability of the device to capture high-resolution images poses a new challenge to image processing,and most of the existing low-light image enhancement algorithms are designed for low-resolution images,and there are problems such as unclear details ...
ZHANG Ling, LI Zhenyu
doaj   +1 more source

Candros optimization algorithm based dual attention LieNet model for low light image enhancement [PDF]

The images taken in the low-light environment appear dark and possess low visual quality due to inadequate light exposure, which influences the image view, affecting the oriented applications.
Christopher, C. Seldev, Fernisha, S. R., Lyernisha, S. R.   +2 more
core   +1 more source

Low-Light Image Enhancement Using Volume-Based Subspace Analysis

IEEE Access, 2020
Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under challenging illumination conditions. Even though the significant progress has been made for enhancing the poor visibility, the intrinsic noise ...
Wonjun Kim, Ryong Lee, Minwoo Park, Sang-Hwan Lee, Myung-Seok Choi   +4 more
doaj   +1 more source

Text in the dark: Extremely low-light text image enhancement

Extremely low-light text images pose significant challenges for scene text detection. Existing methods enhance these images using low-light image enhancement techniques before text detection.
Lin, Che-Tsung,, Ng, Chun Chet,, Nah, Wan Jun,, Long Kew, Jie,, Hsu, Pohao,, Wang, Xinyu,, Tan, Zhi Qin,, Zach, Christopher,, Lai, Shang Hong,, Seng Chan, Chee,   +9 more
core   +1 more source