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Sep 17, 2008 · Abstract – In this paper, we propose a new, two-stage, adap- tive classified pattern-matching algorithm based on residual vector ...
We have developed and subjectively evaluated a lossy classified vector quantization (CVQ) using a subsampling and prediction decollation scheme. Both interframe ...
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Feb 3, 2015 · In the method, the image to be segmented is divided into small sub-blocks with each sub-block constituting a vector and the vectors are ...
Object-based VQ is performed in three phases, initialization, iterative and finalization. The initialization phase is based on Max–Min algorithm. The iterative ...
Sep 17, 2008 · ABSTRACT—In this paper, we propose an enhanced form of Adaptive Pattern Based Vector quantization approach for compressing color and ...
Apr 16, 2024 · A hybrid image compression method is proposed in this work based upon two compression techniques, namely Vector Quantization (VQ) and Discrete ...
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In this paper, we propose a new, two-stage, adaptive classified pattern-matching algorithm based on residual vector quantization and variable bit rate encoding ...
In this paper, we develop and analyze a learning vector quantization (LVQ) based algorithm for the combined compression and classifi- cation problem. We show ...
In this paper the optimal method to compress the compound images by a single algorithm based on Adaptive Block. Segmentation VQ (ABS-VQ) technique is described.
Aug 14, 2020 · Vector quantisation (VQ) compression is an easy-operating image compression method that can compress images to 1/16th of the original size.