• Jayati Singh
• Rahul Dekar

The filtering approach has been proved to be the best when the image is corrupted with salt and pepper noise. The wavelet based approach finds applications in denoising images corrupted with Gaussian noise. Data are transmitted as the high quality digital images in the major fields of communication in all of the modern applications. This paper focused on the work which works on the received image processing before it is used for particular applications. We applied image denoising which involves the manipulation of the DWT coefficients of noisy image data to produce a visually high standard denoised image. This works consist of extensive reviews of the various parametric and non parametric existing denoising algorithms based on statistical estimation approach related to wavelet transforms connected processing approach and contains analytical results of denoising under the effect of various noise at different intensities.

PCA, LCA, ICA, Image-denoising

"Image Enhancement of Satellite and CCTV using Fuzzy Logic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.530-535, June-2019, Available :http://www.jetir.org/papers/JETIR1906E30.pdf

"Image Enhancement of Satellite and CCTV using Fuzzy Logic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp530-535, June-2019, Available at : http://www.jetir.org/papers/JETIR1906E30.pdf