Indexing Image Databases Using Wavelet and Discrete Fourier Transform
Image database processing depends on the efficiency with which the images are stored and retrieved. We present a new hybrid technique, which uses the compression power of Wavelet Transform and the rotation, scaling, translation & reflection (RSTN) invariance of Fourier Transform Spectrum. This hybrid technique is faster and more robust than the separate use of Discrete Fourier Transform and holistic Wavelet Transform for designing image indexes. The experimental results on the accuracy and computation time performance of the hybrid indexing algorithm are presented.
C. Sabharwal and S. R. Subramanya, "Indexing Image Databases Using Wavelet and Discrete Fourier Transform," Proceedings of the 2001 ACM Symposium on Applied Computing, Association for Computing Machinery (ACM), Jan 2001.
The definitive version is available at https://doi.org/10.1145/372202.372395
Keywords and Phrases
Compression; Discrete Fourier Transform; Image Databases; Indexing Algorithm; Wavelet Transform
Article - Conference proceedings
© 2001 Association for Computing Machinery (ACM), All rights reserved.
01 Jan 2001