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Journal of Information Science and Engineering, Vol. 21 No. 1, pp. 181-194 (January 2005)

A Fast Method for Textural Analysis of DCT-Based Image*

Yu-Len Huang
Department of Computer Science and Information Engineering
Tunghai University
Taichung, 407 Taiwan

The multiresolution wavelet transform is an effective procedure in texture analysis. However, many images are still compressed by the methods based on the discrete cosine transform (DCT). Thus, decompression of the inverse DCT is required to yield the textural features based on the wavelet transform for the DCT-coded image. This investigation adopts the multiresolution reordered features in texture analysis. The proposed features are directly generated using the DCT coefficients of the encoded image. Comparisons between the subband-energy features extracted from the wavelet transform and the conventional DCT, using the Brodatz texture database, demonstrate that the proposed method offers the best textural pattern retrieval accuracy and yields a much higher classification rate. The proposed DCT features are expected to be very useful and efficient in retrieving and classifying texture patterns in large DCT-coded image databases.

Keywords: image retrieval, image database, texture analysis, content-based searching, wavelet transform, DCT coefficients

Full Text () Retrieve PDF document (200501_09.pdf)

Received April 18, 2003; revised July 11 & September 11, 2003; accepted October 3, 2003.
Communicated by Ja-Ling Wu.
* This work was supported in part by National Science Council, Taiwan, R.O.C., under grant NSC 91-2213-E-029-021.