| Paper Details: | Downloads: 464 |
| Serial Number: | P1151026155
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| Title: | Two Dimensional Medical Image Compression Techniques-A Survey
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| Authors: | V.K.Sudha and R.Sudhakar
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| Abstract: | Advanced medical imaging requires storage of large quantities of digitized clinical data. Due to the constrained bandwidth and storage capacity, a medical image must be compressed before transmission and storage. However, the compression will reduce the image fidelity, especially when the images are compressed at lower bit rates. The reconstructed images suffer from blocking artifacts and the image quality will be severely degraded under the circumstance of high compression ratios. Medical imaging poses the great challenge of having compression algorithms that reduce the loss of fidelity as much as possible so as not to contribute to diagnostic errors and yet have high compression rates for reduced storage and transmission time. To meet this challenge several hybrid compression schemes exclusively for medical images are developed in the recent years. This paper presents overview of various compression techniques based on DCT, DWT, ROI and Neural Networks for two dimensional (2D) still medical images.
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| Keywords: | Image compression, DCT, DWT, ROI, Neural Networks
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 11
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| Issue: | 1
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| Submission Date: | 6/22/2010 12:00:00 AM
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| Review Date: | 11/28/2010 12:00:00 AM
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| Publishing Date: | 12/7/2010 12:00:00 AM
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| Article Downloads: | 464
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