DocumentCode
3411608
Title
Retrieval of occluded images using DCT phase and region merging
Author
Ayyalasomayajula, P. ; Grassi, S. ; Farine, Pierre-Andre
Author_Institution
Electron. & Signal Process. Lab., Ecole Polytech. Fed. de Lausanne, Neuchatel, Switzerland
fYear
2012
fDate
Sept. 30 2012-Oct. 3 2012
Firstpage
2441
Lastpage
2444
Abstract
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.
Keywords
content-based retrieval; data compression; discrete cosine transforms; image coding; image retrieval; merging; CBIR; DCT phase; JPEG compression ratios; content based image retrieval; correlation metric; discrete cosine transform; occluded image retrieval; region merging; Correlation; Discrete cosine transforms; Image coding; Image retrieval; Merging; Transform coding; CBIR; DCT phase; fused image retrieval; occluded image retrieval; region merging;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1522-4880
Print_ISBN
978-1-4673-2534-9
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2012.6467391
Filename
6467391
Link To Document