• Ankita Gupta
• Amit Pandey
• Sachin Meshram

One of the fundamental and crucial processes in image processing is picture De-noising. Researchers are continually grappling with this difficult and pressing issue. Through the use of electronic or print media, images are crucial representations in every industry, including education, agriculture, geosciences, aerospace, security and entertainment. Noise can taint images, although a lot of research has gone into finding remedies to this issue. Several techniques have been put forth. Each method has its own advantages and disadvantages. In this paper, we summarize some important research in the field of image de-noising. Hereafter, a quick introduction is followed by a summary of several approaches. Based on the methodologies employed, these methods have been grouped.

Image de-noising, Derivative Based De-noising, Fuzzy Based De-noising, Mathematical Morphology Based De-noising, Median Based De-noising, Nonlinear De-noising methods, Statistical Modeling Based De-noising, Convolutional neural network

"A Succinct Overview of Image De-Noise Removal Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.c240-c249, August-2022, Available :http://www.jetir.org/papers/JETIR2208225.pdf

"A Succinct Overview of Image De-Noise Removal Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppc240-c249, August-2022, Available at : http://www.jetir.org/papers/JETIR2208225.pdf