Learning to Decompose and Restore Low-light Images with Wavelet Transform

2021 ◽  
Author(s):  
Pengju Zhang ◽  
Chaofan Zhang ◽  
Zheng Rong ◽  
Yihong Wu
Keyword(s):  
Wavelet Transform ◽  
Low Light

Low-light image enhancement based on Retinex theory and dual-tree complex wavelet transform

2018 ◽  
Vol 14 (6) ◽  
pp. 470-475 ◽  
Author(s):  
Mao-xiang Yang ◽  
Gui-jin Tang ◽  
Xiao-hua Liu ◽  
Li-qian Wang ◽  
Zi-guan Cui ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Image Enhancement ◽  
Complex Wavelet Transform ◽  
Low Light ◽  
Light Image ◽  
Retinex Theory ◽  
Complex Wavelet

scholarly journals Robust Feature Detection Using 2D Wavelet Transform under Low Light Environment

10.5772/4970 ◽  
2007 ◽  
Author(s):  
Youngouk Kim ◽  
Jihoon Lee ◽  
Woon Cho ◽  
Changwoo Park ◽  
Changhan Park ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Feature Detection ◽  
Light Environment ◽  
Low Light

Low light image enhancement with dual-tree complex wavelet transform

2017 ◽  
Vol 42 ◽  
pp. 28-36 ◽  
Author(s):  
Cheolkon Jung ◽  
Qi Yang ◽  
Tingting Sun ◽  
Qingtao Fu ◽  
Hyoseob Song
Keyword(s):  
Wavelet Transform ◽  
Image Enhancement ◽  
Complex Wavelet Transform ◽  
Low Light ◽  
Light Image ◽  
Complex Wavelet

Method for low-light-level image compression based on wavelet transform

2001 ◽  
Author(s):  
Shaoyuan Sun ◽  
Baomin Zhang ◽  
Liping Wang ◽  
Lianfa Bai
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Light Level ◽  
Low Light

Low-light-level dual-spectrum image fusion based on wavelet transform

1998 ◽  
Author(s):  
Liping Wang ◽  
Bin Liu ◽  
Jianghua Hu ◽  
Baomin Zhang
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Light Level ◽  
Low Light

Study of a New Kind of Low Light Level Night Vision Device

2010 ◽  
Vol 439-440 ◽  
pp. 1601-1605
Author(s):  
Da She Li ◽  
Shu E Liu ◽  
Zhen Hua
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Communication Protocol ◽  
Light Level ◽  
Night Vision ◽  
Edge Extraction ◽  
Low Light ◽  
Laser Technology ◽  
B Spline ◽  
Visual Range

A way based on B-Spline wavelet transform is used to get the edge extraction of the night image. Compared with classical methods of edge detection, it provides higher precision and saves more details etc. Formulation of communication protocol is put forward. With the combination of laser technology and night vision technology, hardware and software program and image processing is designed to realize the auto-detection, monitoring and alarm. The visual range in full dark is 1.8km and more than 2.1km in 1/4 moonlight

Sign in / Sign up

Export Citation Format

Share Document