Analysis of Multispectral Image Using Discrete Wavelet Transform

Author

Singh, Hiran Kumar ; Tomar, S.K. ; Singh, Prashant

Author_Institution

Dept. of Electron. & Commun. Eng., IETM.J.P Rohilkhand Univ., Bareilly, India

fYear

2013

fDate

6-7 April 2013

Firstpage

59

Lastpage

62

Abstract

In this paper we have analyzed the discrete wavelet transform of multispectral image of Bareilly region using MatLab tool. The wavelet transform is one of the most useful computational tools for a variety of signal and image processing applications. The wavelet transform is used for the compression of digital image because smaller data are important for storing images using less memory and for transmitting images faster and more reliably. Wavelet transforms are useful for images to reduce unwanted noise and blurring. A discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled. A key advantage it has over Fourier transforms is temporal resolution: it captures both frequency and time domain information.

Keywords

Fourier transforms; discrete wavelet transforms; image resolution; time-frequency analysis; Bareilly region; DWT; Fourier transforms; discrete wavelet transform; frequency domain information; image processing applications; multispectral image analysis; signal processing applications; temporal resolution; time domain information; unwanted noise; Digital images; Discrete wavelet transforms; Image coding; Wavelet analysis; Wavelet coefficients; Compression Techniques; DWT; Wavelet; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing and Communication Technologies (ACCT), 2013 Third International Conference on

Conference_Location

Rohtak

ISSN

2327-0632

Print_ISBN

978-1-4673-5965-8

Type

conf

DOI

10.1109/ACCT.2013.46

Filename

6524275