i-manager Publications

New Lifting Wavelets based Medical Image Compression with Entropy Coding

A. Hazarathaiah*, B. Prabhakara Rao**

* Head, Department of Electronics and Communications, S V College of Engineering.

** Rector, Jawarhalal Nehru technological University, Kakinada.

Periodicity:July - September'2014
DOI : https://doi.org/10.26634/jip.1.3.2963

Abstract

The main limitations on any communication system are “channel bandwidth” and “noise”. This paper deals with the data rate which is related to channel bandwidth. The real time images from any source will occupy large amount of space on a storage device. Hence it consumes maximum bandwidth for transmitting it and there are so many methods to reduce the image size and hence the bandwidth of the signal. This paper shows wavelet based compression methods. Discrete Wavelet Transform is a powerful tool for analyzing the signals. With the help of a thresholding function, it will be more useful in compression, but this method has some disadvantages like selectivity and shift invariance. So a much better method is proposed. In the proposed method a completely new set of wavelets were designed with lifting filters. Arithmetic coding is combined with proposed algorithm for reducing the size of images with less mean square error (MSE) at high compression ratio (CR).

Keywords

Keywords: Compression, Lifting Wavelets, Arithmetic Coding, High Compression Ratio.

How to Cite this Article?

Hazarathaiah, A., and Rao, B.P. (2014). New Lifting Wavelets based Medical Image Compression with Entropy Coding. i-manager’s Journal on Image Processing, 1(3), 33-39. https://doi.org/10.26634/jip.1.3.2963

References

[1]. Pennebaker, W. B., and Mitchell, J. L.( 1993) , “JPEG: Still image data compression standard,” in New York, NY: Van Nostrand Reinhold.

[2]. Wallace, G. K. (1991), “The JPEG still picture compression standard,” in Commun. ACM, Vol.34, pp.30-44.

[3]. ISO/IEC CD 13818-2 (1993), “Generic coding of moving pictures and associated audio.”

[4]. Al-Haj, (2007). “Combined DWT-DCT Digital Image Water- marking,” Journal of Computer Science, Vol. 3, No. 9, pp. 740-746.

[5]. Daubechies, (1990). 'The Wavelet Transform, Time- Frequency Localization and Signal Analysis', IEEE Trans. Info. Theory, 36, 961-1005.

[6]. Glen G. Langdon Jr., An introduction to arithmetic coding. IBM Journal of Research and Development, 28(2):135-149.

[7]. Ian H. Witten, Radford M. Neal, and John G. Cleary, (1984). Arithmetic coding for data compression, Communications of the ACM, 30(6):520- 540.

[8]. C. E. Shannon, (1948). A mathematical theory of communication, Bell System Technical Journal, 27:379- 423 and 623-656.

[9]. Normand Abramson, (1963). Information Theory and Coding. McGraw-Hill Book Company, Inc., New York, NY.

[10]. P.Schroder and W. Sweldens, (1995). “Spherical wavelets: Efficiently representing functions on the sphere,” in ACM SIGGRAPH, pp. 161– 172.

[11]. R.W. Buccigrossi, E.P. Simoncelli: (Dec. 1999). Image Compression via Joint Statistical Characterization in the Wavelet Domain, IEEE Transaction on Image Processing, Vol. 8, No. 12, pp. 1688 – 1701.

[12]. A. Hazarathaiah, Dr. B. PrabhakarRao, (December 2013). “A Novel Medical Image Compression using New Traditional Orthogonal Wavelets”, CIIT International Journal of Digital Image Processing.

[13]. D.M. Chandler, S.S. Hemami (2002). Additivity Models for Suprathreshold Distortion in Quantized Wavelet-coded Images, Human Vision and lectronic Imaging Conference, San Jose, CA, USA, SPIE Vol. 4662, pp. 105 – 118.

[14]. www.gehealthcare.com.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

New Lifting Wavelets based Medical Image Compression with Entropy Coding

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content: