• Ram Paul Singh
• Sahil Malik
• Saurabh Rawat
• Divyakant Sharma
• MD Alimudeen

This paper presents performance analysis of image denoising techniques using wavelet packet decomposition with canny edge detection. The wavelet packet based result is compared with Wiener Filtering. A high quality image is taken and some noise is added to it with some known standard deviation (SD). Wavelet Packet algorithm is used for noise removal along with the edge detection.At the same time to preserve the features of an image such as edge information Canny edge detection is applied. The Wavelet thresholding is done to remove noise by killing coefficients that are insignificant relative to some threshold. The wavelet packet thresholding is evaluated and examines some improvements for different image contaminated by Gaussian noise of various densities.

Coefficient thresholding, Image denoising, Canny edge detection, edge preserving, wavelet packet transform.

"Edge-preserving Image Denoising using Wavelet Packet", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.570-580, December-2018, Available :http://www.jetir.org/papers/JETIR1812981.pdf

"Edge-preserving Image Denoising using Wavelet Packet", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp570-580, December-2018, Available at : http://www.jetir.org/papers/JETIR1812981.pdf