A Restoration Method for the Removal of Noise Using Denoising Algorithm
Image Denoising, Impulse noise, Gaussian noise
The main purpose of this paper is to remove the additive noise present in the images such as Gaussian noise and
dependent noise. The denoising concentrates on removal of both impulse noise and Gaussian noise from images. The
DTBDM requires high computation time for processing. In DTBDM, the degradation in denoising performance as the
algorithm works on noiseless pixels also. In proposed it works only on noisy pixels and it requires less computation time.
In order to remove noise, a new noise detection mechanism and also filtering is performed using Non-Local means (NLM)
method. To achieve the detection results more robust and more accurate, the strategy coarse-to-fine stage and the iterative
method are used. The numerical results will confirm that proposed methods yields the better performance, in the terms of
peak signal to noise ratio (PSNR).
Hemalatha E, Yamini S. "A Restoration Method for the Removal of Noise Using Denoising Algorithm".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 3, pp.3151-3155, URL :https://rjwave.org/ijedr/papers/IJEDR1403055.pdf
Volume 2 Issue 3
Pages. 3151-3155