Image Compression using an efficient hybrid algorithm

Authors

  • Sandhya Sharma Electronics and Communication Department, Chitkara University, Himachal Pradesh, India
  • Urvashi Bhat Electronics and Communication Department, Chitkara University, Himachal Pradesh, India

DOI:

https://doi.org/10.15415/jotitt.2013.11004

Keywords:

Image compression, hybrid, quantization, DWT, DCT, CR, PSNR, MSE, Huffman encoding, medical image

Abstract

This research paper proposes a method for the compression of medical images using an efficient hybrid algorithm. The objective of this hybrid (DWT,DCT and Huffman quantization) scheme is to calculate the compression ratio, peak signal to noise ratio and mean square error by changing the DWT level and Huffman quantization factor. The goal is to achieve higher compression ratio by applying different compression thresholds for the wavelet coefficient of each DWT band and then DCT with varying Huffman quantization factor while preserving the quality of reconstructed image. First DWT and DCT is applied on individual components RGB. After applying this image is quantized using Huffman quantization to calculate probability index for each unique quantity so as to find out the unique binary code for each unique symbol for their encoding.

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References

Sandhya Sharma and Sarabjeet Kaur,Image Compression using hybrid of DWT, DCT and Huffman Coding in “International Journal of Science and Emerging Technologies with Latest Trends” 5(1): 19-23 (2013)

Mahmoud A. Mofaddel et al, “Object based hybrid image and video coding scheme” IEEE 2011.

Aree Ali Mohammed, “Hybrid Transform coding scheme for medical image application ” IEEE2011.

Xi Hong ZHOU,” Research on DCT-base Image Compression Quality” Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, IEEE 2011

Suchitra Shreshtha et al,”Hybrid DWT-DCT Algorithm for Biomedical image and video compression applications.” 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)IEEE, 2010.

Sunil Bhooshan,” An efficient and selective image compression scheme using Huffman and adaptive Interpolation” 24th International Conference Image and Vision Computing New Zealand (IVCNZ 2009) IEEE 2009

Chong Fu,” A DCT based Fractal Image Compression method” International workshop on chaos- fractals theories & Applications, IEEE 2009

Zhang Shi-qiang,” The image compression method based on adaptive segment and adaptive quantified ” The 3rd International Conference on Innovative Computing Information and control, IEEE 2008

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Published

2013-06-24

How to Cite

Sandhya Sharma, & Urvashi Bhat. (2013). Image Compression using an efficient hybrid algorithm. Journal on Today’s Ideas - Tomorrow’s Technologies, 1(1), 45–50. https://doi.org/10.15415/jotitt.2013.11004

Issue

Vol. 1 No. 1 (2013)

Section

Articles

License

 

Articles in Journal on Today's Ideas - Tomorrow's Technologies (J. Today’s Ideas - Tomorrow’s Technol.) by Chitkara University Publications are Open Access articles that are published with licensed under a Creative Commons Attribution- CC-BY 4.0 International License. Based on a work at https://jotitt.chitkara.edu.in. This license permits one to use, remix, tweak and reproduction in any medium, even commercially provided one give credit for the original creation.

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Creative Commons License Journal on Today's Ideas - Tomorrow's Technologies by Chitkara University Publications is licensed under a Creative Commons Attribution 4.0 International License.
Based on a work at https://jotitt.chitkara.edu.in
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