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Efficient Hybrid Transform Scheme for Medical Image Compression
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 27 - Number 7 |
| Year of Publication: 2011 |
| Authors: Aree Ali Mohammed, Jamal Ali Hussein |
10.5120/3313-4548
|
Aree Ali Mohammed, Jamal Ali Hussein . Efficient Hybrid Transform Scheme for Medical Image Compression. International Journal of Computer Applications. 27, 7 ( August 2011), 16-20. DOI=10.5120/3313-4548
Abstract
In recent times, developing hybrid schemes for effective image compression has gained enormous popularity among researchers. This research paper presents a proposed scheme for medical image compression based on hybrid compression technique (DWT and DCT). The goal is to achieve higher compression rates by applying different compression thresholds for the wavelet coefficients of each DWT band (LL and HH) while DCT transform is applied on (HL and LH) bands with preserving the quality of reconstructed medical image. The retained coefficients are quantized by using adaptive quantization according to the type of transformation. Finally the entropy coding (variable shift coding) is used to encode the quantization indices. Experimental results show that the coding performance can be significantly improved by the hybrid DWT-DCT algorithm.
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