Structure revealing of low-light images using wavelet transform based on fractional-order denoising and multiscale decomposition

• Published in: The Visual computer Vol. 37; no. 5; pp. 865 - 880
• Main Authors: Rahman, Ziaur, Pu, Yi-Fei, Aamir, Muhammad, Wali, Samad
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2021; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Color; Computer Graphics; Computer Science; Data loss; Decomposition; Illumination; Image enhancement; Image Processing and Computer Vision; Image quality; Image reconstruction; Light; Low visibility; Methods; Multimedia; Noise reduction; Original Article; Performance enhancement; Vision systems; Wavelet transforms; White balance; Fractional-order denoising; Multiscale decomposition; DT-CWT; Image enhancement

Images captured in low-light environment often lower its quality due to low illumination and high noise. Hence, the low visibility of images notably degrades the overall performance of multimedia and vision systems that are typically designed for high-quality inputs. To resolve this problem, numerou...