Image indexing using wavelet vector quantization

Fayez M. Idris; Sethuraman Panchanathan

doi:10.1117/12.227249

21 November 1995 Image indexing using wavelet vector quantization

Fayez M. Idris, Sethuraman Panchanathan

Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227249
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

In this paper, we propose a new technique based on wavelet vector quantization for the storage and retrieval of compressed images. Here, the images are first decomposed using wavelet transform followed by vector quantization of the transform coefficients. We note that similar images map to similar labels. Hence, the labels corresponding to an image constitute a feature vector which is used as an index to store and retrieve the image. In addition, the lowest resolution subimages resulting from the wavelet decomposition serve as visual icons for browsing purposes. The proposed technique provide fast access to the compressed images in the database has a lower cost for computing and storing the indices compared to other techniques reported in the literature.

Citation Download Citation

Fayez M. Idris and Sethuraman Panchanathan "Image indexing using wavelet vector quantization", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227249

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