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A Novel Threshold Approach for Medical Image Compression

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Medical imaging modalities such as Magnetic Resonance Imaging, Computed Tomography and Ultrasound produce prohibitive amounts of digitized clinical data that require large storage space. Hence compression of digital images becomes essential and are very much desired in medical applications to solve both storage and transmission problems. An efficient image compression scheme to reduce the size of medical images without sacrificing diagnostic information is required. This paper discusses a novel method of choosing the threshold to identify significant wavelet coefficients for compression of medical images, with no loss in diagnostic information. The compression algorithm is designed for obtaining high quality images, especially for Peak Signal to Noise Ratio equal to or greater than 36 dB. The efficiency of the proposed method is assessed by applying it to medical grey-scale images from different modalities. Objective evaluations are carried out by comparing with existing image compression method.
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Document Type: Research Article

Publication date: December 1, 2013

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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