Review on Transform Based Medical Image Compression
| Autor: | Shaiju Panchikkil, Sherin Jabbar |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Lossless compression
business.industry Computer science Fractal transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Data compression ratio Data_CODINGANDINFORMATIONTHEORY computer.file_format Lossy compression JPEG Computer vision Artificial intelligence business computer Transform coding Image compression Data compression |
| Zdroj: | Computer Science & Information Technology ( CS & IT ). |
| Popis: | Advance medical imaging requires storage of large quantities of digitized clinical data. Due to the bandwidth and storage limitations, medical images must be compressed before transmission and storage. Diagnosis is effective only when compression techniques preserve all the relevant and important image information needed. There are basically two types of image compression: lossless and lossy. Lossless coding does not permit high compression ratios where as lossy achieve high compression ratio. Among the existing lossy compression schemes, transform coding is one of the most effective strategies. In this paper, a review has been made on the different compression techniques on medical images based on transforms like Discrete Cosine Transform(DCT), Discrete Wavelet Transform(DWT), Hybrid DCT-DWT and Contourlet transform. And it has been analyzed that Contourlet transform have superior overall performance over other transforms in terms of PSNR. |
| Databáze: | OpenAIRE |
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