Identification of shift-variant point spread function for a class of imaging systems

Author

Rajagopalan, Ambasamudram Narayanan ; Chaudhuri, S.

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India

Volume

1

fYear

1997

fDate

4-4 Dec. 1997

Firstpage

275

Abstract

A maximum a posteriori-Markov random field (MAP-MRF) based scheme is proposed for identifying a class of shift-variant imaging systems whose point spread function can be parameterized by a single blur parameter. The space-variant (SV) blur parameter is modeled as an MRF and its MAP estimate is obtained using simulated annealing. The performance of the proposed scheme is tested on both synthetic as well as real data and the estimates of the SV blur are found to be better than that of the window-based blur identification technique.

Keywords

Markov processes; image processing; maximum likelihood estimation; optical transfer function; random processes; simulated annealing; imaging systems; maximum a posteriori-Markov random field; performance; real data; shift-variant point spread function identification; simulated annealing; space-variant blur parameter; synthetic data; window-based blur identification technique; Computational modeling; Context modeling; Degradation; Design for disassembly; Markov random fields; Simulated annealing; Space technology; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE

Conference_Location

Brisbane, Qld., Australia

Print_ISBN

0-7803-4365-4

Type

conf

DOI

10.1109/TENCON.1997.647310

Filename

647310