Efficient Image Compression Algorithms Using Evolved Wavelets

Chenchu Krishnaiah G*, T. Jaya Chandra Prasad**, M. N. Giri Prasad***
* Associate professor, Department of Electronics and communications Engineering, Gokula Krishna College of Engineering, Sullurpet, Andhra Pradesh, India.
** Principal, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyal, Kurnool (Dist), Andhra Pradesh, India.
*** Professor in the Department of Electronics and Communication Engineering, J.N.T University College of Engineering, Anantapur, Anantapur(Dist), Andhra Pradesh, India.
Periodicity:June - August'2011
DOI : https://doi.org/10.26634/jele.1.4.1504


The 9/7 and 5/3 lifting based wavelet filters are  widely used in different image compression schemes, such as JPEG 2000 image compression standard. The performance of a hardware implementation of the 9/7 and 5/3 filter banks depends on the accuracy with which filter coefficients are represented. In this paper an attempt has been made to study the performance of 9/7 and 5/3 wavelets on photographic images (monochrome and color) and estimated Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), Mean Square Error (MSE), Encoding Time, Decoding Time, Transforming Time or Decomposition Time…etc. This study shows that the 5/3 wavelet transform outperform the 9/7 wavelet transform.


Low Complexity, Efficient, 5/3 Wavelet Filter, 9/7 Wavelet Filter, Implementation, Image Compression, Algorithms, Evolved Wavelets.

How to Cite this Article?

G. Chenchu Krishnaiah, T. Jayachandraprasad and M.N. Giri Prasad (2011). Efficient Image Compression Algorithms Using Evolved Wavelets. i-manager’s Journal on Electronics Engineering, 1(4), 1-8. https://doi.org/10.26634/jele.1.4.1504


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