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Proceedings Paper

Image registration in the JPEG-compressed domain
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Paper Abstract

A novel approach for image mosaicing in the JPEG compressed domain is presented in this paper. This technique employs the Hausdorff Distance Metric (HDM) to compute the regions of overlap between two JPEG images. The DCT blocks of the two overlapping images having significant activity are identified using a variance measure and the HDM metric is employed directly between these DCT blocks to estimate the translation parameter. The results obtained demonstrate reduction in the time taken for the registration step by a factor of 10-30, as compared to a traditional feature-based approach in the uncompressed domain.

Paper Details

Date Published: 2 November 2004
PDF: 8 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.557406
Show Author Affiliations
Subramaniam Balasubramaniam, Sri Sathya Sai Institute of Higher Learning (India)
R. Sharma, Sri Sathya Sai Institute of Higher Learning (India)
G. V. Prabhakara Rao, Sri Sathya Sai Institute of Higher Learning (India)
Rajeev Gandhi Memorial College of Engineering and Technology (India)

Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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