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article · International Journal of Computer Communication and Informatics · 2020

Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression

Satyawati S. Magar, Bhavani Sridharan

Cited by 3Open access

Abstract

The most important Entity to be considered in Image Compression methods are Paek to signal noise ratio and Compression ratio. These two parameters are considered to judge the quality of any Image.and they a play vital role in any Image processing applications. Biomedical domain is one of the critical areas where more image datasets are involved for analysis and biomedical image compression is very, much essential. Basically, compression techniques are classified into lossless and lossy. As the name indicates, in the lossless technique the image is compressed without any loss of data. But in the lossy, some information may loss. Here both lossy & lossless techniques for an image compression are used. In this research different compression approaches of these two categories are discussed and brain images for compression techniques are highlighted. Both lossy and lossless techniques are implemented by studying it’s advantages and disadvantages. For this research two important quality parameters i.e. CR & PSNR are calculated. Here existing techniques DCT, DFT, DWT & Fractal are implemented and introduced new techniques i.e Oscillation Concept method, BTC-SPIHT & Hybrid technique using adaptive threshold & Quasi Fractal Algorithm.

Cite this paper

APA 7

Magar, S. S., & Sridharan, B. (2020). Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression. International Journal of Computer Communication and Informatics, 2(2), 30–45. https://doi.org/10.34256/ijcci2024

MLA 9

Magar, Satyawati S., and Bhavani Sridharan. “Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression.” International Journal of Computer Communication and Informatics, vol. 2, no. 2, 2020, pp. 30–45, https://doi.org/10.34256/ijcci2024.

Chicago

Magar, Satyawati S., and Bhavani Sridharan. 2020. “Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression.” International Journal of Computer Communication and Informatics 2 (2): 30–45. https://doi.org/10.34256/ijcci2024.

Harvard

Magar, S.S. and Sridharan, B. (2020) ‘Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression’, International Journal of Computer Communication and Informatics, 2(2), pp. 30–45. Available at: https://doi.org/10.34256/ijcci2024.

BibTeX
@article{magar2020comparative,
  title = {{Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression}},
  author = {Magar, Satyawati S. and Sridharan, Bhavani},
  journal = {International Journal of Computer Communication and Informatics},
  volume = {2},
  number = {2},
  pages = {30--45},
  year = {2020},
  doi = {10.34256/ijcci2024}
}

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