Spiral Scan Order based Vector Quantization for Compressing Medical Test Image

Authors

  • Rani MM Department of CSA, The Gandhigram Rural Institute - Deemed to be University, Gandhigram,Dindigul, Tamilnadu
  • Chitra P Department of CSA, The Gandhigram Rural Institute - Deemed to be University, Gandhigram,Dindigul, Tamilnadu

Keywords:

Spiral Scan Order, Image Compression, Vector Quantization

Abstract

The rapid growth of technology needs massive data storage for online transmission. Medical data occupies huge space for storage which has to be reduced for effective transmission, specifically for telemedicine applications. This emphasises the need of image compression which creates extra storage space to store more data. This paper presents a novel implementation of vector quantization using spiral scan order for enhancing the quality and compression as well. The standard metrics like Peak Signal to Noise Ratio (PSNR), Structural Similarity (SSIM), Compression Ratio (CR) and Bit Rate (BR) are used to evaluate the performance of the proposed method. Experimental results demonstrate the merits of the proposed method in terms of compression metrics than other existing methods

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Published

2025-11-13

How to Cite

[1]
M. M. S. Rani and P. Chitra, “Spiral Scan Order based Vector Quantization for Compressing Medical Test Image”, Int. J. Comp. Sci. Eng., vol. 6, no. 4, pp. 262–265, Nov. 2025.

Issue

Vol. 6 No. 4 (2018): IJCSE Special Issue May Edition

Section

Research Article

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