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

Publication Type : Book Chapter

Publisher : Springer

Source : Lecture Notes in Computational Vision and Biomechanics book series (LNCVB,volume 30)

Url :

Campus : Amaravati

School : School of Computing

Year : 2019

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.

Cite this Research Publication : Rajasekhar Reddy, M., Akkshya Deepika, M., Anusha, D., Iswariya, J., & Ravichandran, K. S. (2019). A new approach for image compression using efficient coding technique and BPN for medical images. In Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) (pp. 283-290). Springer International Publishing.

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