An Efficient Medical Image Compression Based on DCT Coefficients with SPIHT Algorithm
2010
Hochschulschrift
Zugriff:
98
Medical images are a special classification in their dark background, directional and smooth properties. For efficiency of compressing these images, we propose a compression algorithm based on discrete cosine transform (DCT) with SPIHT. The discrete wavelet transform (DWT) is a useful transform method, but the cost of computational complexity is very high. In order to decrease the computational complexity, we use the DCT instead of DWT. We reorder the DCT coefficients to follow the feature of spatial orientation tree. Therefore, we can use the DWT-based compression method such as SPIHT (Set partitioning in hierarchical trees) to obtain the same compression performance. Simulation results reveal that the proposed method employing a large-size of DCT blocks improves the quality of the reconstructed medical images in terms of PSNR over the conventional SPIHT at the same bit-rate. In the computational time, the DCT is faster than DWT in different types of medical images.
Titel: |
An Efficient Medical Image Compression Based on DCT Coefficients with SPIHT Algorithm
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Autor/in / Beteiligte Person: | Yi-HungChou ; 周奕宏 |
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Veröffentlichung: | 2010 |
Medientyp: | Hochschulschrift |
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