Blind image restoration method by PCA-based subspace generation

• Main Authors: Sumali, Brian, Hamada, Nozomu, Mitsukura, Yasue
• Format: Conference or Workshop Item
• Published: 2015
• Subjects: TK7885-7895 Computer engineer. Computer hardware
• Online Access: http://eprints.utm.my/id/eprint/61971/; http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=35626

Principal Component Analysis (PCA) has been effectively applied for image restoration. Original idea underlying PCA approach has two different roots. One is from the fact that PCA is relevant to variance of pixel intensity by which the missing high frequency components in blurred image should be rec...