Image restoration with impulse noise based on fractional-order total variation and framelet transform

• Published in: Signal, image and video processing Vol. 17; no. 5; pp. 2455 - 2463
• Main Author: Parvaz, Reza
• Format: Journal Article
• Language: English
• Published: London Springer London 01.07.2023; Springer Nature B.V
• Subjects: Algorithms; Computer Imaging; Computer Science; Image processing; Image Processing and Computer Vision; Image restoration; Multimedia Information Systems; Original Paper; Pattern Recognition and Graphics; Signal,Image and Speech Processing; Vision; Fractional total variation; Framelet; Image deblurring; Nonconvex

Restoring images corrupted by noise and blur is a burgeoning subject in image processing, and despite the large number of proposed restoration algorithms, the effort to bring about some improvement is always of great interest. The definition of fractional derivatives in recent years has created a po...