WSVM with Morlet Wavelet Kernel for Image Compression

Author

Tolambiya, Arvind ; Kalra, Prem K.

Author_Institution

Indian Inst. of Technol., Kanpur

fYear

2007

fDate

16-18 April 2007

Firstpage

1

Lastpage

5

Abstract

In this paper, we presented a practical and effective image compression system based on Wavelet Support Vector Machine (WSVM) with Morlet wavelet kernel for compressing still images. The algorithm combines WSVM learning with discrete wavelet decomposition technique. Compression is achieved by approximating wavelet coefficients at each subband separately using WSVM regression. Results demonstrate in comparison with JPEG, SPIHT and SVM with Gaussian kernel algorithm, the proposed algorithm increases compression ratio for a given image quality; conversely it gives better image quality for a given compression ratio.

Keywords

data compression; discrete wavelet transforms; image coding; learning (artificial intelligence); support vector machines; Morlet wavelet kernel; WSVM learning; discrete wavelet decomposition technique; image compression; wavelet support vector machine; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Image quality; Image reconstruction; Image storage; Kernel; Support vector machine classification; Support vector machines; Transform coding; Image compression; Morlet wavelet kernel; Wavelet support vector machine (WSVM); kernel machines;

fLanguage

English

Publisher

ieee

Conference_Titel

System of Systems Engineering, 2007. SoSE '07. IEEE International Conference on

Conference_Location

San Antonio, TX

Print_ISBN

1-4244-1159-9

Electronic_ISBN

1-4244-1160-2

Type

conf

DOI

10.1109/SYSOSE.2007.4304322

Filename

4304322