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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Image Compression of MRI Image using Planar Coding

Author 1: Lalitha Y S Author 2: Mrityunjaya V. Latte
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 2, No. 7 · Published 2011 · Cited by 6

DOI: https://doi.org/10.14569/IJACSA.2011.020705

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Abstract

In this paper a hierarchical coding technique for variable bit rate service is developed using embedded zero block coding approach. The suggested approach enhances the variable rate coding by zero tree based block-coding architecture with Context Modeling for low complexity and high performance. The proposed algorithm utilizes the significance state-table forming the context modeling to control the coding passes with low memory requirement and low implementation complexity with the nearly same performance as compared to the existing coding techniques.

Keywords

image coding embedded block coding context modeling multi rate services.

How to Cite this Article

S, L. Y., & Latte, M. V. (2011). Image Compression of MRI Image using Planar Coding. International Journal of Advanced Computer Science and Applications, 2(7). https://doi.org/10.14569/IJACSA.2011.020705

S, Lalitha Y, and Mrityunjaya V. Latte. "Image Compression of MRI Image using Planar Coding." International Journal of Advanced Computer Science and Applications, vol. 2, no. 7, 2011, https://doi.org/10.14569/IJACSA.2011.020705.

@article{S2011,
  title     = {Image Compression of MRI Image using Planar Coding},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {2},
  number    = {7},
  year      = {2011},
  publisher = {The Science and Information Organization},
  author    = {Lalitha Y S and Mrityunjaya V. Latte},
  doi       = {10.14569/IJACSA.2011.020705},
  url       = {https://doi.org/10.14569/IJACSA.2011.020705}
}

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