We propose a method to identify the dominant coefficients in DCT image coders at a very low rate. The method consists of applying a weighted vector quantization technique to a binary-valued matrix in which the 1's indicate the positions of the dominant DCT coefficients. In this technique the distortion measure is inversely proportional to a weighted number of coincident 1's, where larger weighting factors are assigned to coincident 1's in the low-frequency region. Simulation results show that only 0.16 bit/pixel is sufficient to identify the dominant DCT coefficients in a fixed rate scheme, without any significant degradation of the reconstructed image.<>


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    Title :

    Identification of dominant coefficients in DCT image coders using weighted vector quantization


    Contributors:
    Oliveira, L.V. (author) / Alcaim, A. (author)


    Publication date :

    1994-01-01


    Size :

    340329 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Identification of Dominant Coefficients in DCT Image Coders using Weighted Vector Quantization

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