Abstract:

Despite rapid progress in improving mass-storage density and digital communication system performance, compression of data (integer) representing sampled signals continues to be important in many engineering and research areas, since it can overcome data storage and transmission bandwidth limitations. Many coding techniques result in broadband residue (large-dynamicrange integer) sequences that must be retained for an exact recovery of the original data. Of the several coding techniques available in literature1-8, this coding technique is simple and easy to implement. Further this technique is found to give good data (integer) compression, results in higher compression ratios. The original data (integer) are operated upon according to a particular algorithm to produce the compressed data, reversing the process; the compressed data (integer) is decompressed to reproduce the original data. The degree of data reduction obtained as a result of compression process is known as the compression ratio. Comparison with other coding algorithms such as Embedded Zero Tree (EZW), Joint Photographic Experts Group (JPEG) and Set Partitioning in Hierarchical Trees (SPIHT) is being carried out for different input (such as ECG data, and Image data). The Peak to Signal Noise Ratio (PSNR), Compression ratio (CR) for Image data and Percent Root Mean Square Difference (PRD), Compression Ratio (CR) for ECG data is calculated and compared with all the algorithms. The Cascade coding algorithm and comparison with other three algorithms are simulated and tested in MATLAB® 6.5. This data compression-using cascade coding algorithms can be implemented using hardware circuitry to meet the requirements of real-time applications.

Keywords: Cascade coding, ECG Data stream, JPEG, SPIHT, EZW.

	M.Manikandan, He obtained his B.E and M.E degrees from Madras University in 1999 and 2000 respectively. He is currently working as Lecturer in Department of ECE, Anna University,Chennai,India. He is a Life member of ISTE. His research interests are Signal and Image Processing, VLSI and ASIC. He is pursuing Doctoral Degree in the area of Image Compression.
	K.BhoopathyBagan, He obtained his B.E and M.E degrees from PSG college of Technology in 1980 and 1982 respectively. He worked in ISRO as Engineer from 1983-85He obtained his Doctoral Degree from IIT Madras in 1990. He is currently working as Assistant Professor in Department of Electronics, MIT, Anna University, Chennai, India. His research areas are Digital Signal Processing, Image Compression and VLSI.
	T.Prathiba,   She obtained his Masters from Anna University in 2006.She is working as Lecturer in Kalasalingam Engineering College, Tamilnadu, India.

BibTex:

@ARTICLE{P1150627004,

AUTHOR = {M.Manikandan and K.Bhoopathy Bagan and T.Prathiba},

TITLE = {IMAGES AND INTEGER COMPRESSION USING BIT BASED CASCADE CODING},

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

}

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