Institute of Information Theory and Automation

Publication details

Recognition of Images Degraded by Gaussian Blur

Conference Paper (international conference)

Flusser Jan, Suk Tomáš, Farokhi Sajad, Höschl Cyril


serial: Computer Analysis of Images and Patterns - CAIP 2015, p. 88-99 , Eds: Azzopardi George, Petkov Nicolai

action: Computer Analysis of Images and Patterns, (Valletta, MT, 02.09.2015-04.09.2015)

project(s): GA15-16928S, GA ČR

keywords: Blurred image, Object recognition, Blur invariant comparison, Gaussian blur, Projection operators, Image moments, Moment invariants

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abstract (eng):

We introduce a new theory of invariants to Gaussian blur. The invariants are defined in Fourier spectral domain by means of projection operators and, equivalently, in the image domain by means of image moments. The application of these invariants is in blur-invariant image comparison and recognition. The behavior of the invariants is studied and compared with other methods in experiments on both artificial and real blurred and noisy images.

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Institute of Information Theory and Automation