Abstract:

Image compression is an important aspect of multimedia data transmission, especially through bandlimited, time-varying channels.  The cost and limitation in bandwidth of wireless channels has made data compression a necessity.  Moreover, due to the constraints of wireless channels, progressive image transmission has gained widespread acceptance.  Wavelet-based image coding lends itself naturally for progressive transmission, where the important low frequency information in the image is transmitted first, followed by the less important high frequency details.  In this paper, the coding of images for progressive transmission is addressed, by applying a lifting wavelet transform, and vector quantization of the transform coefficients.  Lifting wavelet transform has its advantages over the ordinary wavelet transform by way of reduction in memory required for its implementation.  This is made possible because lifting transform uses in-place computation.  The lifting coefficients replace the image samples present in the respective memory locations.  The Haar wavelet has been used here because of its simplicity, but it can be extended to other wavelets that may give better results.  The performance of the system has been evaluated based on the compression ratio, bits-per-pixel and the peak signal-to-noise ratio with different codebook sizes for the various subbands.

Keywords: Image Compression, Progressive, Wavelets, Lifting, Haar, Vector Quantization, Compression Ratio, Bits-Per-Pixel, Peak Signal-to-Noise Ratio.

Author Biography:

A.Vasuki     She   obtained  her  B.E.   degree in       Electronics and Communication   Engineering   from PSG College of Technology   in   the   year   1989.        She     obtained   her Master’s   degree  in Applied Electronics from Coimbatore Institute of Technology in 1991.  She has published 13 papers in conferences and her research interest is in the field of Image Compression.  She is currently working as Asst. Professor in the Dept. of ECE, Kumaraguru College of Technology, Coimbatore.  India.

P.T.Vanathi she obtained her Bachelor’s degree in Electronics and Communication   Engineering and Master’s degree in Computer Science  from  PSG  College of Technology in the year 1985 and 1991 respectively.  She has a Ph.D in the area of Speech Coding and has so far published 8 papers in Journals and 45 papers in National and International Conferences.  Her areas of interest are VLSI Design and Speech Recognition and she has over 20 years of teaching experience.  She is currently working as Asst. Professor at the Dept. of ECE, PSG College of Technology, Coimbatore. India. .

BibTex:

@ARTICLE{P1150651001,

AUTHOR = {A.Vasuki and  P.T.Vanathi},

TITLE = {IMAGE COMPRESSION USING LIFTING AND VECTOR QUANTIZATION},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing},

YEAR = {2007},

VOLUME = {07},

ISSUE ={1},

PAGES={7--15}

}

(Full Paper 793KB)