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A New Approach for Image Compression Using Efficient Coding Technique and BPN for Medical Images

  • M. Rajasekhar ReddyEmail author
  • M. Akkshya Deepika
  • D. Anusha
  • J. Iswariya
  • K. S. Ravichandran
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Medical images produce a digital form of human body pictures. Most of the medical images contain large volumes of image data that is not used for further analysis. There exists a need to compress these images for storage issues and to produce a high-quality image. This paper discusses an image compression using Back Propagation Neural network (BPN) and an efficient coding technique for MRI images. Image compression using BPN produces an image without degrading its quality and it requires less encoding time. An efficient coding technique—Arithmetic coding is used to produce an image with better compression ratio and redundancy is much reduced. Back-Propagation Neural Network with arithmetic coding gives the better results.

Keywords

Arithmetic coding Image compression BPN PSNR MSE 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • M. Rajasekhar Reddy
    • 1
    Email author
  • M. Akkshya Deepika
    • 1
  • D. Anusha
    • 1
  • J. Iswariya
    • 1
  • K. S. Ravichandran
    • 1
  1. 1.School of ComputingSASTRA Deemed UniversityThanjavurIndia

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