Biometrics and Bioinformatics

M. Varathaguru ¹, R. S. Sabeenian ²

Affiliations
1 Electronics and Communication Engineering Department, Government Polytechnic College Coimbatore-641014 Tamilnadu, IN
2 Electronics and Communication Engineering Department, Sona College of Technology Salem-636005, Tamilnadu, IN

Abstract

This paper studies image compression using SPIHT and Modified SPIHT algorithm. Image compression is one of the important applications in data compression on its image. Image data requires huge amount of disk space and large bandwidths for transmission. Hence, image compression is necessary to reduce the amount of data required to represent digital image.Discrete Wavelet Transform (DWT) based image compression has been paid much attention in the past decades. DWT has been adopted as a new technical standard for still image compression. Set Partitioning in Hierarchical Trees (SPIHT) is the DWT-based image compression algorithm which is more powerful, efficient and more popular, due to the properties of fast computation, low memory requirement. Discrete wavelet transform (DWT) based Set Partitioning in Hierarchical Trees (SPIHT) algorithm is widely used in many image compression systems.In this paper an attempt has been made to study the performance of Set partition in Hierarchical Tree (SPIHT) and modified SPIHT algorithms for image compression. In addition to evaluate the performance of SPIHT algorithm with Modified SPIHT, it has given reduced scan redundancy and bit redundancy.

Keywords

Discrete Wavelet Transform (DWT), Image Compression, SPIHT and Modified SPIHT.

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P. Anandan ¹, R. S. Sabeenian ²

Affiliations
1 Department of Electronics and Communication Engineering, Sengunthar Engineering College, Tiruchengode-637 205, Tamilnadu, IN
2 Department of Electronics and Communication Engineering, Sona College of Technology, Salem-636 005 Tamilnadu, IN

Abstract

Image processing holds a very important role in various application fields such as medical, education, surveillance etc. Images are very important documents nowadays; to work with them in some applications they need to be compressed, more or less depending on the purpose of the application. Many different image compression techniques currently exist for the compression of different types of images. Image compression is fundamental to the efficient and cost-effective use of digital imaging technology and applications. An investigation is done on the various types of image compression techniques that exist. This paper deals with study of different available image compression techniques with their performance results.

Keywords

Image Compression, Curvelet Transform, Contourlet Transform, Ridgelet Transform, Fractal Transform.

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