21 November 1995 Image indexing using wavelet vector quantization
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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
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fayez M. Idris, Sethuraman Panchanathan, "Image indexing using wavelet vector quantization", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); doi: 10.1117/12.227249; https://doi.org/10.1117/12.227249

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