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Proceedings Paper

Image object removal in redundant wavelet transform domain
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Paper Abstract

In this paper, we present a novel approach on image object removal by extending subpatch texture synthesis technique into redundant wavelet transform (RDWT) domain. As an overcompleted wavelet transform, RDWT is shift invariant and obtained without downsampling. Also, each RDWT highpass subband exhibits one specific orientation features of the image, in horizontal, vertical, or diagonal. All these make RDWT ideal for performing texture synthesis object removal techniques. In our experiments, subpatch texture synthesis in RDWT is introduced to remove unwanted objects from digital photographs. Specifically, for each RDWT subband, depending on the subband orientation, a particular direction subpatch texture synthesis is applied independently. Experimental results reveal that our simple algorithm performs better than previous methods.

Paper Details

Date Published: 10 February 2009
PDF: 8 pages
Proc. SPIE 7245, Image Processing: Algorithms and Systems VII, 72450C (10 February 2009); doi: 10.1117/12.805912
Show Author Affiliations
Yonghui Wang, Prairie View A&M Univ. (United States)
Suxia Cui, Prairie View A&M Univ. (United States)
Jian-ao Lian, Prairie View A&M Univ. (United States)
Cajetan M. Akujuobi, Prairie View A&M Univ. (United States)

Published in SPIE Proceedings Vol. 7245:
Image Processing: Algorithms and Systems VII
Nasser M. Nasrabadi; Jaakko T. Astola; Karen O. Egiazarian; Syed A. Rizvi, Editor(s)

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