Image object removal in redundant wavelet transform domain

Yonghui Wang; Suxia Cui; Jian-ao Lian; Cajetan M. Akujuobi

doi:10.1117/12.805912

10 February 2009 Image object removal in redundant wavelet transform domain

Yonghui Wang, Suxia Cui, Jian-ao Lian, Cajetan M. Akujuobi

Proceedings Volume 7245, Image Processing: Algorithms and Systems VII; 72450C (2009) https://doi.org/10.1117/12.805912
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Yonghui Wang, Suxia Cui, Jian-ao Lian, and Cajetan M. Akujuobi "Image object removal in redundant wavelet transform domain", Proc. SPIE 7245, Image Processing: Algorithms and Systems VII, 72450C (10 February 2009); https://doi.org/10.1117/12.805912

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