Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

Comparative Analysis of Various Color Image Compression Techniques

Print
PDF
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 14
Year of Publication: 2014
Authors:
Shreykumar G. Bhavsar
Hardik N. Mewada
Viraj Choksi
M. B. Potdar
10.5120/14909-3466

Shreykumar G Bhavsar, Hardik N Mewada, Viraj Choksi and M B Potdar. Article: Comparative Analysis of Various Color Image Compression Techniques. International Journal of Computer Applications 85(14):18-23, January 2014. Full text available. BibTeX

@article{key:article,
	author = {Shreykumar G. Bhavsar and Hardik N. Mewada and Viraj Choksi and M. B. Potdar},
	title = {Article: Comparative Analysis of Various Color Image Compression Techniques},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {14},
	pages = {18-23},
	month = {January},
	note = {Full text available}
}

Abstract

Recent research has focused on the image compression algorithms are lossy compression. However, the general algorithm for certain types of images, resulting in poor image quality is usually implemented using a baseline quantization process, especially in the combination of image content. It's a lot different compression image coding based on Wavelet transform technology utilizes signal. A different type of variable image compression algorithms like JPEG, JPEG2000, EZW, SPIHT compression technology which can be used is very important.

References

  • Sadashivappa, K. V. S Anand Babu and Dr. Srinivas K, "Color Image Compression using SPIHT Algorithm", International Journal of Computer Applications(IJCA) , Vol. 16, No. 7, February 2011.
  • Charilaos Christopoulos, Touradj Ebrahimi, Athanassios Skodras, "The Jpeg2000 Still Image Coding System: An Overview", IEEE Transactions on Consumer Electronics, Vol. 46, No. 4, pp. 1103-1127, November 2000.
  • Sure. Srikanth, Sukadev Meher, "Compression Efficiency for Combining Different Embedded Image Compression Techniques with Huffman Encoding", International conference on Communication and Signal Processing, April 3-5, 2013.
  • Vidhi Dubey, Rahul Dubey, "A new Set Partitioning in Hierarchical (SPIHT) Algorithm and Analysis with Wavelet Filters" International Journal of Innovative Technology and Exploring Engineering (IJITEE), August 2013.
  • Reena Singh, V. K. Srivastava, "JPEG2000: A review and its performance comparison with JPEG", International Conference on Power, Control and Embedded Systems (ICPCES), 2012.
  • V. S. Shingate, S. N. Talbar and T. R. Sotakke, "Still Image Compression using Embedded Zero tree Wavelet Encoding", International Journal of Computer Science & Communication, Vol. 1, pp. 21-24, June 2010,.
  • C. D. , Creusere, "A New method of Robust Image Compression Based on the Embedded Zero tree Wavelet Algorithm", IEEE Transactions on Image processing, No. 10, pp. 1436-1442, 1997.
  • Tripatjot Singh, Sanjeev Chopra, Harmanpreet Kaur, Amandeep Kaur, "Image compression Using Wavelet and Wavelet packet Transformation" IJCST Vol. 1, Issue 1, September 2010.
  • A. Said and W. A. Pearlman, "A new fast and efficient image codec based on set partitioning in hierarchical trees" IEEE Transactions on Circuits and systems for Video Technology, vol. 6, no. 3,pp. 243-250,Jun. 1996.
  • N. B. Chopade, A. A. Ghatol and M. T. Kolte, "Efficient Image Compression and Transmission Using SPECK", SPIT-IEEE Colloquium and International Conference, Mumbai, India, 2005.
  • Puja D Saraf, Deepti Sisodia, Amit Sinhal and Shiv Sahu, "Design and Implementation of Novel SPIHT Algorithm for Image Compression", IEEE International Conference on Parallel, Distributed and Grid Computing, 2012.
  • Ali Kadhim, Al-Janabi, "Low Memory Set-Partitioning in Hierarchical Trees Image Compression Algorithm", International Journal of Video & Image Processing and Network Security (IJVIPNS-IJENS), Vol. 13 No. 02, 2013.
  • K Sayood, "Introduction to Data Compression", Morgan Kaufm ann, San Fransisco, USA, 1996.
  • http://en. wikipedia. org/wiki/JPEG
  • Heinz H. Bauschke, Christopher H. Hamilton, Mason S. Macklem, Justin S. McMichael and Nicholas R. Swart, "Recompression of JPEG Images by Requantization", IEEE Transactions On Image Processing, Vol. 12, No. 7, July 2003.
  • http://www. zicara. com/techbytes/webdesign/advantages-disadvantages-jpeg