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Still image compression using Curvelets and logarithmic scalar quantization technique | IEEE Conference Publication | IEEE Xplore

Still image compression using Curvelets and logarithmic scalar quantization technique


Abstract:

The remarkable development in the field of information technology and the diversity of multimedia applications in recent years imply the development of more efficient ima...Show More

Abstract:

The remarkable development in the field of information technology and the diversity of multimedia applications in recent years imply the development of more efficient image compression techniques to improve the data transmission and storage capacity. The recent researches showed that classical wavelets are not able to exploit optimally the geometric regularities along the contours and edges of objects. We propose in this work, a new compression method based on geometric wavelets called Curvelets, associated with a logarithmic scalar quantization technique, to improve the compression performances compared to that of classical wavelets, in terms of image quality and compression rate (PSNR and CR). This method gave encouraging results with interesting perspectives.
Date of Conference: 29 September 2016 - 01 October 2016
Date Added to IEEE Xplore: 24 April 2017
ISBN Information:
Electronic ISSN: 2472-7652
Conference Location: Marrakech, Morocco

References

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