Paper
2 November 2004 Image registration in the JPEG-compressed domain
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Subramaniam Balasubramaniam, R. Sharma, and G. V. Prabhakara Rao "Image registration in the JPEG-compressed domain", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.557406
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Cited by 1 scholarly publication.
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KEYWORDS
Image compression

Image registration

Motion estimation

Video

Detection and tracking algorithms

Distance measurement

Edge detection

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