A Simple Local Minimal Intensity Prior and an Improved Algorithm for Blind Image Deblurring

• Published in: IEEE transactions on circuits and systems for video technology Vol. 31; no. 8; pp. 2923 - 2937
• Main Authors: Wen, Fei, Ying, Rendong, Liu, Yipeng, Liu, Peilin, Truong, Trieu-Kien
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Approximation algorithms; blind deblurring; Computational efficiency; Convolution; Image deblurring; Image edge detection; Image processing; Image restoration; intensity sparsity prior; Kernel; local minimal pixels; Measurement; Pixels; Robustness (mathematics); Sparsity; sparsity inducing

Blind image deblurring is a long standing challenging problem in image processing and low-level vision. Recently, sophisticated priors such as dark channel prior, extreme channel prior, and local maximum gradient prior, have shown promising effectiveness. However, these methods are computationally e...