Title :
Enhancement and noise reduction of very low light level images
Author :
Xiangdong Zhang ; Peiyi Shen ; Lingli Luo ; Liang Zhang ; Juan Song
Author_Institution :
Xidian Univ., Xi´´an, China
Abstract :
A general method for image contrast enhancement and noise reduction is proposed in this paper. The method is developed especially for enhancing images acquired under very low light conditions where the features of images are nearly invisible and the noise is serious. By applying an improved and effective image de-haze algorithm to the inverted input image, the intensity can be amplified so that the dark areas become bright and the contrast get enhanced. Then, the joint-bilateral filter with the original green component as the edge image is introduced to suppress the noise. Experimental results validate the performance of the proposed approach.
Keywords :
feature extraction; image denoising; image enhancement; edge image; green component; image contrast enhancement; image de-haze algorithm; image feature; inverted input image; joint-bilateral filter; noise suppression; very low light conditions; very low light level image enhancement; very low light level image noise reduction; Computer vision; Image edge detection; Lighting; Noise; Noise level; Noise reduction; Pattern recognition;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4