Abstract
As the latest effort by JPEG in international standardization of still image compression, JPEG2000 contains a range of important functionalities superior to its earlier DCT based versions. In the expectation that the compression standard will become an important digital format for many images and photographs, we present our recent work in this paper on image indexing and retrieval directly in wavelets domain, which is suitable for JPEG2000 compressed image retrieval without involving its full decompression. Our methods mainly extract histogram features from those significant wavelet coefficients according to the EBCOT of JPEG2000 for compressed image retrieval. While our method gains the advantage of eliminating decompression, the experiments also support that the retrieving accuracy is better than the existing counterparts.
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Tang, J., Zhang, W., Li, C. (2005). An Approach to Compressed Image Retrieval Based on JPEG2000 Framework. In: Li, X., Wang, S., Dong, Z.Y. (eds) Advanced Data Mining and Applications. ADMA 2005. Lecture Notes in Computer Science(), vol 3584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527503_47
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DOI: https://doi.org/10.1007/11527503_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27894-8
Online ISBN: 978-3-540-31877-4
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