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Digital Image Watermarking Using Sine Transform Technique Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Performance Evaluation of DCT, DWT and SPIHT Techniques for Medical Image Compression

Authors : M. Laxmi Prasanna Rani, G. Sasibhushana Rao, B. Prabhakara Rao

Published in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Publisher: Springer International Publishing

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Abstract

Medical imaging is, visible illustration of internal of the human body in digital form. There exists a need for compression of these medical images for storage and transmission purposes with high image quality for error free diagnosis of diseases. It is necessary to develop new techniques for compression of images, resulting into reduction in cost of data storage and transmission. This paper proposes a progressive and DWT-based Set Partition in Hierarchical Tree (SPIHT) algorithm for achieving better image compression while maintaining the nature of restored image. The performance of SPIHT algorithm is evaluated and compared with simple DCT and DWT using the parameters like Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and compression ratio (CR). From the results it is concluded that SPIHT algorithm produces better PSNR and MSE values compared to DCT and DWT with high image quality.

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Metadata
Title
Performance Evaluation of DCT, DWT and SPIHT Techniques for Medical Image Compression
Authors
M. Laxmi Prasanna Rani
G. Sasibhushana Rao
B. Prabhakara Rao
Copyright Year
2019
Book
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_147