The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 52-678
Full Name: Nishat Kanvel
Position: Associate Professor
Age: ON
Sex: Female
Address: Thanthai Periyar Govt. Institute of technology,Vellore-2.Tamilnadu
Country: INDIA
Tel: +917598333742
Tel prefix: 04162253742
Fax: 0416253742
E-mail address: nishatkanvel@yahoo.com
Other E-mails: tobracid@gmail.com
Title of the Paper: A novel adaptive lifting based image compression scheme with speck algorithm using particle swarm optimization technique
Authors as they appear in the Paper: Nishat kanvel, Dr.Elwin Chandra Monie
Email addresses of all the authors: nishatkanvel@yahoo.com , nishatkanvel@in.com
Number of paper pages: 11
Abstract: The problem of Image Compression is to reduce memory storage which is the need of the hour as images are very bulk and require more storage and difficult to transmit.This paper presents an adaptive lifting scheme with Particle swarm Optimization technique and SPECK Coder for image compression. Particle swarm Optimization technique (PSO) is used to improve the accuracy of the prediction function used in the lifting scheme. The objective of this paper is to develop an efficient compression scheme and to obtain better quality and higher compression ratio using lifting schemes with Set Partitioned Embedded block algorithm (SPECK coder ). This scheme is applied in Image compression and parameters such as PSNR,Compression Ratio and the visual quality of the image is calculated .The proposed scheme performs better with PSNR, CR and Visual quality when compared with traditional methods (GA). In this paper we propose a method to optimize the prediction functio!
n used in the lifting scheme using Particle swarm optimization algorithm (PSO) and encoded using SPECK ALGORITHM for image compression. The SPECK Algorithm performs better than SPIHT ALGORITHM. The advantages of the PSO are, very few parameters to deal with and the large number of processing elements, so called dimensions, which enable to fly around the solution space effectively. On the other hand, it converges to a solution very quickly which should be carefully dealt with when using it for combinatonial optimization problems.
Keywords: Adaptive Lifting Scheme, Prediction function, Pso, Speck , Image Compression
EXTENSION of the file: .doc
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How Did you learn about congress: IMAGE COMPRESSION
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