• Vandana Singla
• RajBhupinder kaur

Image as the input and output source is being used for various real life purposes. In various type of use the image can be processed and transferred and then stored. While doing transfer and store there can be various types of noises. These noises deteriorate the image quality. This makes the image to be less functional at the destination end. The noises in the image lies in various forms like Salt and Pepper, Gaussian, Speckle, Poisson noises. PCT based technique in comparison to all the base techniques like K-SVD, BM3D, NLM, is having better results in the noise detection and restorations. Denoised image has been compared on various parameters like SSIM, PSNR, FOM. All these parameters are having better results for PCT based techniques in comparison to all the base techniques.

PCT, Speckle, Poisson, Gaussian, Salt and pepper.

"Enhanced Profuse Clustering Technique for Image Denoising for different types of noises.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.1-8, December-2018, Available :http://www.jetir.org/papers/JETIR1812001.pdf

"Enhanced Profuse Clustering Technique for Image Denoising for different types of noises.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp1-8, December-2018, Available at : http://www.jetir.org/papers/JETIR1812001.pdf