Image Restoration from Multiple Sources

Moltchanova E (2001). Image Restoration from Multiple Sources. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-01-045

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Abstract

This paper proposes a new method of image restoration. The proposed method allows to combine information from several sources, taking the perceived credibility of each into account. It is applicable to both ordinal (e.g., gray level image) and non-ordinal (e.g., classified forest map) categorized images. The accuracy checks have shown the method to be robust with respect to the prior information and the accuracy of the sources. Two application examples are provided.

Item Type: Monograph (IIASA Interim Report)
Research Programs: Forestry (FOR)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:13
Last Modified: 05 Nov 2016 12:00
URI: http://pure.iiasa.ac.at/6477

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