A Hybrid Lossless Compression Scheme for Efficient Delivery of Medical Image Data over the Internet

Medical imaging applications generate large volumes of medical data leading to challenges for transmission and storage. In this paper, a novel lossless 3D compression scheme for medical image delivery is proposed. It is based on Prediction by Partial Matching (PPM) in combination with 3D JPEG-4 compression. This scheme is intended for accelerating the delivery of data over the Internet and consequently we are concerned with both compression ratio and decompression time. Experimental results illustrate that the proposed scheme is efficient and feasible in terms of both compression ratio and decompression speed.

[1]  Samy Ait-Aoudia,et al.  Lossless Compression of Volumetric Medical Data , 2006, ISCIS.

[2]  Abraham Lempel,et al.  Compression of individual sequences via variable-rate coding , 1978, IEEE Trans. Inf. Theory.

[3]  K WallaceGregory.  The JPEG still picture compression standard , 1991 .

[4]  Alistair Moffat,et al.  Implementing the PPM data compression scheme , 1990, IEEE Trans. Commun..

[5]  Nasir D. Memon,et al.  Lossless compression of video sequences , 1996, IEEE Trans. Commun..

[6]  Li Liu,et al.  Lossless compression of medical images using Hilbert space-filling curves , 2008, Comput. Medical Imaging Graph..

[7]  Xiaohui Wang,et al.  Volumetric medical image compression with three-dimensional wavelet transform and octave zerotree coding , 1996, Other Conferences.

[8]  Ian H. Witten,et al.  Modeling for text compression , 1989, CSUR.

[9]  Rangaraj M. Rangayyan,et al.  A segmentation-based lossless image coding method for high-resolution medical image compression , 1997, IEEE Transactions on Medical Imaging.

[10]  Abraham Lempel,et al.  A universal algorithm for sequential data compression , 1977, IEEE Trans. Inf. Theory.

[11]  Yong Zhang,et al.  Prediction by Partial Approximate Matching for Lossless Image Compression , 2005, IEEE Transactions on Image Processing.

[12]  C. Taskin,et al.  An Overview of Image Compression Approaches , 2008, 2008 The Third International Conference on Digital Telecommunications (icdt 2008).

[13]  Touradj Ebrahimi,et al.  A study of JPEG 2000 still image coding versus other standards , 2000, 2000 10th European Signal Processing Conference.