In this paper will be described integration of Discrete Cosine Transform (DCT) process and quantization in video data compressionalgorithm. The integration is done in order to improve time and compression ratio. The ...
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ISBN:
(纸本)9781612848334
In this paper will be described integration of Discrete Cosine Transform (DCT) process and quantization in video data compressionalgorithm. The integration is done in order to improve time and compression ratio. The method is employed by inserting quantization process in the DCT function, as well as for the decompression process. It can be done since the orthonomality property of the prior DCT function is still valid, algebraically. Result obtained in this paper is related with the first aim, that is, a better compression time. It is obtained based on mathematical and algorithm analyses done, that the integration of the two processes can improve to a better time complexity.
A new video compression algorithm based on a temporal blocking structure, rather than the more conventional spatial blocking structure, is described. This blocking structure forms the basis of an adaptive vector quant...
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A new video compression algorithm based on a temporal blocking structure, rather than the more conventional spatial blocking structure, is described. This blocking structure forms the basis of an adaptive vector quantisation (VQ) algorithm, the performance of which is then compared with a similar adaptive VQ scheme based on a spatial blocking structure.
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