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 ...
People also ask
What is the vector quantization method for image compression?
What is adaptive vector quantization?
What is the codebook in vector quantization?
What are the applications of vector quantization?
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 ...
Missing: Matching | Show results with:Matching
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.