Abstract

This paper describes inverse filters that restore imagery with minimal artifacts. Deconvolution kernels are obtained by windowing Wiener-type inverse filters (WTIFs). Windowed WTIFs exhibit good restoration properties. Constraining the size of the WTIF kernel is necessary because of the edge effects associated with discrete convolutions. Spatial windowing is necessary even if processing is performed in the frequency domain. The kernel design procedure is described, and the theory is explained. The performance penalty associated with limiting kernel size is discussed and quantified.

© 2010 Optical Society of America

Integrated optics implementation of finite impulse response filters

Emmanuel Anemogiannis and Richard P. Kenan
Appl. Opt. 29(24) 3497-3502 (1990)

Particle swarm optimization-based approach for optical finite impulse response filter design

Ying Zhou, Guangjie Zeng, and Feihong Yu
Appl. Opt. 42(8) 1503-1507 (2003)

Restoration of bilinearly distorted images: I. finite impulse response linear digital filtering

Bahaa E. A. Saleh and Madjid Rabbani
J. Opt. Soc. Am. 73(1) 66-70 (1983)

Small-kernel superresolution methods for microscanning imaging systems

Jiazheng Shi, Stephen E. Reichenbach, and James D. Howe
Appl. Opt. 45(6) 1203-1214 (2006)

Multiframe deconvolution with space-variant point-spread functions by use of inverse filtering and fast Fourier transform

Mats G. Löfdahl
Appl. Opt. 46(21) 4686-4693 (2007)