Significance of Image Compression and Its Upshots - A Survey

Authors

  • S. Boopathiraja  Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University) Gandhigram, Tamil Nadu, India
  • P. Kalavathi  Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University) Gandhigram, Tamil Nadu, India
  • C. Dhanalakshmi   Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University) Gandhigram, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT1952321

Keywords:

Image Compression, Digital Imaging, Multimedia, Lempel-Ziv-Welch, Vector Quantization, Block Truncation Coding

Abstract

In the recent years, digital imaging and multimedia are comprising a large growth. It comes to practice that huge amount of image has been utilizing and it probably demand the image compression methods. Image compression is mainly used for reduce the storage size and transmission cost of an image. Based on the quality requirement, it is classified as either lossy or lossless. In this paper, we explore the significance of image compression and the upshot of the survey conducted from the image compression literature. Additionally, we review the various evaluation metrics for image compression such as Compression Ratio, Bit per Pixel, Mean Square Error, Peak Signal to Noise Ratio and Structural Similarity Index.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

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How to Cite

[1]
S. Boopathiraja, P. Kalavathi, C. Dhanalakshmi , " Significance of Image Compression and Its Upshots - A Survey, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.1203-1208, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952321