Subject Review: Various Techniques for Image Compression

Authors

  • Saja Hikmat Dawood  Department of Computer, Collage of Basic Education, University of AL-Mustansiriyah, Baghdad, Iraq
  • Saadi Mohammed Saadi  Ministry of Education, Baghdad, Iraq.
  • Israa Shihab Ahmed  Informatics Institute for Postgraduate Studies, Iraqi Commission for Computers and Informatics,Baghdad, Iraq.

DOI:

https://doi.org/10.32628/IJSRSET23103194

Keywords:

Image compression, redundancy, lossy, lossless, Soft computing, ANN, FL, GA.

Abstract

Due to the quick development of multimedia technology, now can see the increasing amount of multimedia data that is being generated or transmitted over the internet. digital image is one form of multimedia data, that can take different formats and different sizes. And here comes the main objective of image compression in transmitting or storing the data in an effective manner by decreasing the redundant or irrelevant information without significant loss of visual quality in image data. Compression of the images is utilized in various services, including TV broadcasts, satellite imagery, martial communications, webinars, medical imaging, weather reporting, etc. This paper provides a survey of the main techniques in image compression, covering both lossy & lossless approaches. The techniques that depend on lossy compression lose some of the image details during compression, while lossless compression techniques keep the image information without losing. Vector and scalar Quantization, transform coding, block truncation Coding, etc. are all examples of lossy approaches. Run length coding, entropy encoding, statistical coding, etc. are all examples of lossless techniques. This paper will assist the researchers in learning about these techniques and choosing appropriate techniques for their work.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2023-08-30

Issue

Volume 10, Issue 4, July-August-2023

Section

Research Articles

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How to Cite

[1]
Saja Hikmat Dawood, Saadi Mohammed Saadi, Israa Shihab Ahmed "Subject Review: Various Techniques for Image Compression " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 4, pp.222-235, July-August-2023. Available at doi : https://doi.org/10.32628/IJSRSET23103194