Comparative Analysis on Image Compression Techniques for Medical Images
Syed Saqlaina Bukhari1, Mohd Javed Khan2
1Syed Saqlaina Bukhari, Department of ECE, Integral University, Lucknow (U.P) India.
2Mohd Javed Khan, Department of ECE, Integral University, Lucknow (U.P) India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1363-1367 | Volume-8 Issue-7, May 2019 | Retrieval Number: F3949048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image compression is an indispensible technique, which has grown as a major research area. As we know that the natural images contain various discontinuities e.g., textures, edges in geometry etc whose orientation are in different directions. In this paper comparison and analysis of various image compression techniques applied to the field of medical is proposed, those techniques are JPEG, ROI-based, Wavelet and fractal compression. In the field of medicines, diagnosis is effective only and only when the techniques used for compression are able to preserve all the necessary image particulars. The interest of this study is to measure different parameters of the above listed techniques (i.e., compression ratio, duration of processing, PSNR, MSE) which have a characteristic impact on each other.
Keyword: JPEG, Compression, ROI, Wavelets, Encoding, DCT, DWT.
Scope of the Article: Image Security.