Oriental Journal of Computer Science and Technology

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A Comparative Study and Analysis of EZW and SPIHT Methods for Wavelet Based Image Compression


Affiliations
1 Computer Science Department Natubhai V. Patel College of Pure and Applied Sciences Vallabh Vidyanagar, Anand, Gujarat,, India
2 Computer Science Department Natubhai V. Patel College of Pure and Applied Sciences Vallabh Vidyanagar, Anand, Gujarat, India
 

In recent years there has been widely increase the use of digital media everywhere. To increase the use of digital media, there is a huge problem of storage, manipulation and transmission of data over the internet. These digital media such as image, audio and video require large memory space. So it is necessary to compress the digital data to require less memory space and less bandwidth to transmission of data over network. Image compressions techniques are used to compress the data for reduce the storage requirement. It plays an important role for transfer of data such as image over the network. Two methods are used in this paper on Barbara image. This compression study is performed by using Set Partitioning In Hierarchical Trees (SPIHT) and Embedded Zero tree Wavelet (EZW) compression techniques. There are many parameters are used to compare this techniques. Mean Square Error (MSE), Pick Signal to Noise Ration (PSNR) and Compression Ratio (CR) are used at different level of decompositions.

Keywords

Transmission, Bandwidth, Wavelet, SPIHT, EZW, PSNR, MSE, CR.
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  • A Comparative Study and Analysis of EZW and SPIHT Methods for Wavelet Based Image Compression

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Authors

Chetan R. Dudhagara
Computer Science Department Natubhai V. Patel College of Pure and Applied Sciences Vallabh Vidyanagar, Anand, Gujarat,, India
Mayur M. Patel
Computer Science Department Natubhai V. Patel College of Pure and Applied Sciences Vallabh Vidyanagar, Anand, Gujarat, India

Abstract


In recent years there has been widely increase the use of digital media everywhere. To increase the use of digital media, there is a huge problem of storage, manipulation and transmission of data over the internet. These digital media such as image, audio and video require large memory space. So it is necessary to compress the digital data to require less memory space and less bandwidth to transmission of data over network. Image compressions techniques are used to compress the data for reduce the storage requirement. It plays an important role for transfer of data such as image over the network. Two methods are used in this paper on Barbara image. This compression study is performed by using Set Partitioning In Hierarchical Trees (SPIHT) and Embedded Zero tree Wavelet (EZW) compression techniques. There are many parameters are used to compare this techniques. Mean Square Error (MSE), Pick Signal to Noise Ration (PSNR) and Compression Ratio (CR) are used at different level of decompositions.

Keywords


Transmission, Bandwidth, Wavelet, SPIHT, EZW, PSNR, MSE, CR.

References





DOI: https://doi.org/10.13005/ojcst%2F10.03.17