2013 Third International Conference on Advanced Computing & Communication Technologies (ACCT 2013) (2013)
April 6, 2013 to April 7, 2013
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACCT.2013.46
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.
discrete wavelet transforms, Fourier transforms, image resolution, time-frequency analysis
H. K. Singh, S. Tomar and P. Singh, "Analysis of Multispectral Image Using Discrete Wavelet Transform," 2013 Third International Conference on Advanced Computing & Communication Technologies (ACCT 2013)(ACCT), Rohtak, 2013, pp. 59-62.