Comparison of wavelet filters in image coding using hybrid compression technique

Author

Vijayabhaskar, P.V.M. ; Raajan, N.R.

Author_Institution

Sch. of Electr. & Electron. Eng., SASTRA Univ., Thanjavur, India

fYear

2013

fDate

7-9 Jan. 2013

Firstpage

1

Lastpage

5

Abstract

In this, we performed compression of an image by using Hybrid (DWT & DCT) technique. Standard wavelet filters of Haar, Daubechies, Symlets, Coiflets, BiorSplines & ReverseBior were used to estimate compression performance. Generally any Compression method is trying to reduce number of bits per pixel for sufficient representation of image. So memory needed for storing necessary information is reduced & communication efficiency is upgraded. In modern days, the method of image decomposition with the help of wavelets has attained an immense agreement of reputation. Totally standard wavelet filters are compared with 3 different gray images in the encoding section & tabulated the MSE Vs PSNR simulation results. These results offered that, Daubechies (db9) wavelet family produced better results with this Hybrid image compression scheme.

Keywords

discrete cosine transforms; discrete wavelet transforms; filtering theory; image coding; image representation; DCT; DWT; MSE; PSNR; communication efficiency; compression performance; gray images; hybrid compression technique; image coding; image decomposition; image representation; standard wavelet filters; Biomedical imaging; Discrete cosine transforms; Encoding; Image coding; PSNR; Prototypes; Arithmetic coding; Discrete Cosine Transform; Discrete Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT), 2013 International Conference on

Conference_Location

Tiruvannamalai

Print_ISBN

978-1-4673-5300-7

Type

conf

DOI

10.1109/ICEVENT.2013.6496570

Filename

6496570