Fast multi-level image vector quantization
ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications, Page: 121-124
2007
- 2Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations2
- Citation Indexes2
- CrossRef1
Conference Paper Description
In this research work, a measure based on moment features is proposed to index the reproduction vectors of any VQ codebook. The rotation and reflection invariant feature of the proposed indexing measure was utilized to get further reduction in the vectors searching time. The quad tree coding scheme was adopted to partition the compressed images into blocks. The overall error caused by using the closest reproduction vector for representing each image block was utilized to decide whether the tested image block needs to be further partitioned or not. To improve the compression performance the coded blocks have been remapped such that their DC energy was set zero, and their AC energy is normalized (i.e., set equal to 1). The test results indicated that the proposed coding scheme leads to an encouraging compression results, and the required encoding time was greatly reduced without causing significant decrease in the image quality. © 2007 IEEE.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
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