Publication details

Recursive model-based colour image restoration

Conference Paper (international conference)

Haindl Michal

serial: Structural, Syntactic, and Statistical Pattern Recognition. Proceedings, p. 617-626 , Eds: Caelli T., Amin A., Duin R. P. W.

publisher: Springer, (Berlin 2002)


action: Joint IAPR International Workshops SSPR 2002 and SPR 2002, (Windsor, CA, 06.08.2002-09.08.2002)

research: CEZ:AV0Z1075907

project(s): GA106/00/1715, GA ČR, GA102/00/0030, GA ČR

keywords: random fields, image restoration

abstract (eng):

This paper presents a derivation of a fast recursive filter for colour image restoration if degradation obeys a linear degradation model with the unknown possibly non-homogeneous point-spread function. Pixels in the vicinity of steep discontinuities are left unrestored to minimize restoration blurring effect. The degraded image is assumed to follow a causal simultaneous multidimensional regressive model and the point-spread function is estimated using the local least-square estimate.

Cosati: 09K