IMAGE DENOISING BASED ON WAVELET USING DIFFERENT THRESHOLDING TECHNIQUES

When image is captured it sometimes gets degraded by noise. So the main aim of image denoising is to remove those noise for better quality picture which is needed in different fields such as medical, Astrophysics, geographical location, etc. Till now different techniques have been adopted such as Fourier transform, discrete cosine transform, etc. Fourier Transform has its own drawback so to overcome these drawbacks Wavelet Transform is used. In this paper we discuss different thresholding techniques of wavelet for image denoising

Вы можете купить электронную версию издания «IMAGE DENOISING BASED ON WAVELET USING DIFFERENT THRESHOLDING TECHNIQUES». После оплаты (для архивов) оно будет доступно в Личном Кабинете в разделе «Электронные издания». В случае оформления подписки, издание будет доступно по мере поступления от издателя. Формат PDF/HTML online. Стоимость — от 300.00 руб.