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
fDate :
Sept. 30 2012-Oct. 3 2012
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;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6467391