On Non-blind Image Restoration

Date

2009

Authors

Samarasinghe, Pradeepa
Kennedy, Rodney
Li, Hongdong

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

In this paper we develop a new fast non-blind image restoration algorithm with the goals of simplicity, high performance and computational efficiency. The speed advantage over previous algorithms, which is up to two orders of magnitude over existing schemes, is achieved by a novel choice of ground truth prior which enables the use of frequency domain methods for constrained deconvolution. In addition, we study recent likelihood models used in image restoration to guide the most effective likelihood model for image restoration. We show that the use of image derivatives in the likelihood function formulation proposed by some researchers does not lead to significant performance improvements over the standard likelihood function.

Description

Keywords

Keywords: Blind image restoration; Frequency domain deconvolution; Frequency domains; Ground truth; Maximum a posteriori; Communication systems; Computational efficiency; Convolution; Frequency domain analysis; Image reconstruction; Restoration; Signal processing; Frequency domain deconvolution; Ground truth prior; Likelihood; Maximum a posteriori (MAP) framework; Non-blind image restoration

Citation

Source

Proceedings of International Conference on Signal Processing and Communication Systems (ICSPCS 2009)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/ICSPCS.2009.5306407

Restricted until

2037-12-31