Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8701
Title: Unified feature analysis in JPEG and JPEG 2000-compressed domains
Authors: Au, KM
Law, NF 
Siu, WC 
Keywords: Discrete cosine transform
Feature extraction
Image retrieval
JPEG
JPEG 2000
Significance map
Wavelet transform
Issue Date: 2007
Source: Pattern recognition, 2007, v. 40, no. 7, p. 2049-2062 How to cite?
Journal: Pattern Recognition 
Abstract: Retrieving images compressed by different algorithms typically involves a pre-processing operation to decompress them onto the spatial domain from which features are extracted for further analysis. Our objective is to investigate common features that can be found in JPEG-compressed and JPEG 2000-compressed images so that image indexing can be done directly in their respective compressed domains. A fundamental difference between JPEG and JPEG 2000 is their transforms; the former uses a block-based discrete cosine transform (BDCT) while the latter uses a wavelet transform (WT). Direct comparison on BDCT blocks and WT subbands cannot reveal their relationship. By employing our proposed subband-filtering model, the BDCT coefficients can be concatenated to form structures similar to WT subbands. Our theoretical studies show that the concatenated BDCT and WT filters share common characteristics in terms of passband regions, magnitude and energy spectra. In particular, their low-pass filters are identical for Haar wavelets and highly similar for other wavelet kernels. Despite the fact that compression can affect features that can be extracted, our experimental results confirm that common features can always be extracted from JPEG- and JPEG 2000-compressed domains irrespective of the values of the compression ratio and the types of WT kernels used. As a result, similar JPEG-compressed and JPEG 2000-compressed images can be retrieved from one another without requiring a full decompression.
URI: http://hdl.handle.net/10397/8701
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2006.11.009
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