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conference paper

Retrieval of occluded images using DCT phase and region merging

Ayyalasomayajula, Pradyumna  
•
Grassi Pauletti, Sara  
•
Farine, Pierre-André  
2012
Proceedings of the 19th IEEE International Conference on Image Processing
19th IEEE International Conference on Image Processing, ICIP 2012

In this paper we present an efficient method for Content Based Image Retrieval (CBIR) of occluded images using DCT-phase. The proposed method utilizes a novel correlation metric for ternary-valued DCT-phase, as well as a region merging method to reconstruct the non-occluded regions in the retrieved image. The proposed image retrieval method showed good performance when tested with different datasets containing reference images, occluded images, fused images and images with different JPEG compression ratios. Experimental evaluation also showed that the proposed image retrieval method performs better than current state of the art DCT-phase based image retrieval methods while retrieving not only occluded images but also reference images, fused images and images with different JPEG compression ratios.

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Type
conference paper
DOI
10.1109/ICIP.2012.6467391
Author(s)
Ayyalasomayajula, Pradyumna  
•
Grassi Pauletti, Sara  
•
Farine, Pierre-André  
Date Issued

2012

Publisher

IEEE

Published in
Proceedings of the 19th IEEE International Conference on Image Processing
ISBN of the book

978-1-4673-2532-5

Start page

2441

End page

2444

Subjects

Content Based Image Retrieval

•

DCT-phase

•

occluded images

•

region merging

•

low complexity

•

CBIR

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ESPLAB  
Event nameEvent placeEvent date
19th IEEE International Conference on Image Processing, ICIP 2012

Orlando, Florida, USA

September 30 - October 3, 2012

Available on Infoscience
October 16, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/86158
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