Conceptual Framework Strategies for Image Compression: A Review

Authors

  • Ghosh SL Dept. of Computer Science & Application University of North Bengal Raja Rammohunpur, Darjeeling, India
  • Chowdhury DR Dept. of Computer Science & Application University of North Bengal Raja Rammohunpur, Darjeeling, India

Keywords:

Image Compression, Lossy Techniques, Lossless Techniques

Abstract

Image compression plays an important role in digital image processing, it is also very crucial for efficient transmission and storage of images. In image compression, does not only concentrate on reducing size but also concentrate on doing it without losing quality and information of image. This paper summarizes the image compression techniques that may be lossy and lossless and research possibilities.

References

Bhupinderjit Kaur, “ Digital Image and Video Compression Techniques”, ISSN, Vol. 3, Issue 7, pp. 554- 558, July 2013.

Ming Yang & Nikolas Bourbakis ,” An Overview of Lossless Digital Image Compression Techniques”, IEEE, Vol.2, pp. 1099- 1102, Aug 2005.

Kitty Arora & Manshi Shukla,” A Comprehensive Review Of Image Compression Techniques”, ISSN, Vol.5, pp. 1169- 1172, May 2014.

Jasmeen Jaura, Richa Goyal “ A Review of Various Image Compression Techniques”, ISSN, Vol.4, Issue 7, pp.708- 710, July 2014.

Subramanya A, “Image Compression Technique,” Potentials IEEE, Vol. 20, Issue 1 pp. 19-23, Feb-March 2001.

Manjinder Kaur, Gagan Preet Kaur, “ A Survey of Lossless and Lossy Image Compression Techniques”, ISSN, Vol. 3, Issue 2, pp. 323- 326, February 2013.M. Young, The Technical Writer’s Handbook. Mill Valley, CA: University Science, 1989.

] Ismail Avcibas, Nasir Memon, Bulent Sankur, Khalid Sayood, “ A Progressive Lossless / Near Lossless Image Compression Algorithm,”IEEE Signal Processing Letters, vol. 9, No. 10, pp. 312- 314, October 2002

Jagadish H Pujar, “A New Lossless Method of Image Compression & Decompression Using Huffman Coding Techniques”, Journal of Theoretical and Applied Information Technology, vol. 15, pp. 18- 22, 2010.

Amanjot Kaur, Jaspreet Kaur, “Comparison of DCT and DWT of Image Compression Techniques”, International Journal of EngineeringResearch and Development, volume 1, Issue 4, pp.49-52, June 2012.

A.Skodras, Christopoulos and T Ebrahami, “ The JPEG 2000 still Image Compression Standard”,IEEE, pp. 36-58, 2001.

Jeffrey Scott Vitter, "Design and Analysis of Dynamic Huffman Codes", Journal of the Association for Computing Machinery, vol. 34, no. 4, pp. 825-845, October 1987.

] D.Malarvizhi, Dr. K. Kuppusammy “ A New Entropy Encoding for Image Compression using DCT”, ISSN, Vol. 3, Issue 3, pp. 327- 331, 2012.

Sachin Dhawan, “A Review of Image Compression and Comparison of its Algorithms”, International Journal of electronics & Communication technology, Vol. 2, pp. 22-26, March 2011.

] G. K .Wallace:“The JPEG Still Picture Compression Standard,” Communication of the ACM, Vol.34, pp. 39- 44, April 1991.

A.M. Raid, W.M. Khedr, M. A. El-dosuky and Wesam Ahmed, “Jpeg Image Compression Using Discrete Cosine Transform - A Survey”, Vol.5, No.2, pp. 39- 47 April 2014.

Léger, A., Omachi, T., & Wallace, G. The JPEG still picture compression algorithm. In Optical Engineering, Vol. 30, No. 7, pp. 947-954, July 1991.

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Published

2025-11-11

How to Cite

[1]
S. L. Ghosh and D. R. Chowdhury, “Conceptual Framework Strategies for Image Compression: A Review”, Int. J. Comp. Sci. Eng., vol. 4, no. 1, pp. 32–37, Nov. 2025.