i-manager Publications

Color Image Compression using Wavelet, Ridgelet and Curvelet Transform

M. Sreekanth Reddy*, T. Ramashri**

* M. Tech student, Department of Electronics and Communication Engineering, S.V. University College of Engineering, Tirupati, A.P. India.

** Associate Professor, Department of Electronics and Communication Engineering, S.V. University College of Engineering, Tirupati, A.P. India

Periodicity:December - February'2012
DOI : https://doi.org/10.26634/jele.2.2.1622

Abstract

Image Compression is a widely addressed research area. Many compression standards have been in place. But still there is a scope for higher compression with quality reconstruction. The introduction of wavelets gave a different dimension to the compression. But there are some limitations of wavelets while handling the line and curve singularities in the image. There are transforms beyond wavelets namely-Curvelet and Ridgelet Transforms. This paper aims at the analysis of color image compression using Wavelet, Ridgelet and Curvelet Transform. The Curvelet Transform gives better performance in terms of PSNR. Wavelet performs the least and is also affected by the blocking artifacts. Ridgelet is designed to handle line and edge singularities, where as Curvelet is designed to handle singularities on curves. By selecting proper thresholding method, better results for PSNR have been obtained. Color images in the YCbCr color model are used.

Keywords

PSNR, Retained coefficients, Curvelet transform, Wavelet Transform, Ridgelet Transform.

How to Cite this Article?

M. Sreekantha Reddy and T. Ramashri (2012). Color Image Compression Using Wavelet, Ridgelet And Curvelet Transform. i-manager’s Journal on Electronics Engineering, 2(2), 11-16. https://doi.org/10.26634/jele.2.2.1622

References

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Color Image Compression using Wavelet, Ridgelet and Curvelet Transform

Abstract

Keywords

How to Cite this Article?

References

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