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Maintaining human healthcare is one of the biggest challenges that most of the
increasing population in Asian countries are facing today. There is an unrelenting
need in our medical community to develop applications that are low on cost, with
high compression, as huge number of patient’s data and images need to be transmitted
over the network to be reviewed by the physicians for diagnostic purpose. This
implemented work represents discrete wavelet-based threshold approach. Using this
approach by applying N-level decomposition on 2D wavelet types like Biorthogonal,
Haar, Daubechies, Coiflets, Symlets, Reverse Biorthogonal, and Discrete Meyer, var-
ious levels of wavelet coefficients are obtained. The lossless hybrid encoding algo-
rithm, which combines run-length encoder and Huffman encoder, has been used for
compression and decompression purpose. This work is proposed to examine the
efficiency of different wavelet types and to determine the best. The objective of this
research work is to improve compression ratio and compression gain.
Publisher | IntechOpen |
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