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Proceedings Paper

Subband directional vector quantization in radiological image compression
Author(s): Nabil M. Akrout; Chaouki Diab; Remy Prost; Robert Goutte; Michel Amiel
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Paper Abstract

The aim of this paper is to propose a new scheme for image compression. The method is very efficient for images which have directional edges such as the tree-like structure of the coronary vessels in digital angiograms. This method involves two steps. First, the original image is decomposed at different resolution levels using a pyramidal subband decomposition scheme. For decomposition/reconstruction of the image, free of aliasing and boundary errors, we use an ideal band-pass filter bank implemented in the Discrete Cosine Transform domain (DCT). Second, the high-frequency subbands are vector quantized using a multiresolution codebook with vertical and horizontal codewords which take into account the edge orientation of each subband. The proposed method reduces the blocking effect encountered at low bit rates in conventional vector quantization.

Paper Details

Date Published: 1 May 1992
PDF: 10 pages
Proc. SPIE 1653, Medical Imaging VI: Image Capture, Formatting, and Display, (1 May 1992); doi: 10.1117/12.59500
Show Author Affiliations
Nabil M. Akrout, Lab. Traitement du Signal et Ultrasons/INSA (France)
Chaouki Diab, Lab. Traitement du Signal et Ultrasons/INSA (France)
Remy Prost, Lab. Traitement du Signal et Ultrasons/INSA (France)
Robert Goutte, Lab. Traitement du Signal et Ultrasons/INSA (France)
Michel Amiel, Lab. Traitement du Signal et Ultrasons/INSA (France)


Published in SPIE Proceedings Vol. 1653:
Medical Imaging VI: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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