Abstract
Compression techniques are essential for efficient storage and fast transfer of medical image data. In this paper, a rapid 2-D lossy compression technique constructed using wavelet-based contourlet transform (WBCT) and binary array technique (BAT) has been proposed for computed tomography (CT) and magnetic resonance imaging (MRI) images. In WBCT, the high-frequency subband obtained from wavelet transform is further decomposed into multiple directional subbands by directional filter bank to obtain more directional information. The relationship between the coefficients has been changed in WBCT as it has more directions. The differences in parent–child relationships are handled by a repositioning algorithm. The repositioned coefficients are then subjected to quantization. The quantized coefficients are further compressed by BAT where the most frequently occurring value is coded only once. The proposed method has been experimented with real-time CT and MRI images, the results indicated that the processing time of the proposed method is less compared to existing wavelet-based set-partitioning in hierarchical trees and set-partitioning embedded block coders. The evaluation results obtained from radiologists indicated that the proposed method could reproduce the diagnostic features of CT and MRI images precisely.
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Acknowledgments
The authors would like to thank Dr. V. Maheswaran and Dr. Salil Pandey, Assistant Professors in the Department of Radiology, PSG Institute of Medical Sciences and Research, Coimbatore for their help in the quality assessment part of this research work. The first author is also grateful to Tata Consultancy Services for providing financial assistance for her doctoral research work.
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Uma Vetri Selvi, G., Nadarajan, R. CT and MRI image compression using wavelet-based contourlet transform and binary array technique. J Real-Time Image Proc 13, 261–272 (2017). https://doi.org/10.1007/s11554-014-0400-7
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DOI: https://doi.org/10.1007/s11554-014-0400-7