Abstract
As the latest effort by JPEG in international standardization of still image compression, JPEG-2000 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 JPEG-2000 compressed image retrieval without involving its full decompression. Our methods mainly extract shape and texture features from those significant wavelet coefficients and transform their energy into histogram-based indexing keys for compressed image retrieval. While our method gains the advantage that decompression can be eliminated, the experiments also support that the retrieving accuracy is better than the existing counterparts.
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Jiang, J., Guo, B., Li, P. (2002). Extracting Shape Features in JPEG-2000 Compressed Images. In: Yakhno, T. (eds) Advances in Information Systems. ADVIS 2002. Lecture Notes in Computer Science, vol 2457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36077-8_12
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DOI: https://doi.org/10.1007/3-540-36077-8_12
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