• Prajwal Shukla
• Mohd Arshad
• Rishabh Saluja
• Sohail Khan
• Dr Prasanna Kumar Singh

In the current situation, we deal with various forms of noise in image processing, which not only degrade image quality but also hinders useful information stored in an image. Noises degrade images often. During image capture, transmission, and other processes, noise may occur and be acquired. In image processing, noise reduction is a crucial step. Imaging sensing element output is influenced by a range of factors, including the environment throughout image capture and therefore the competence of the sensing parts. In colour image processing, many noise reduction techniques are well-established. The type of noise that is corrupting the picture determines the essence of the noise removal dilemma. Several linear and nonlinear filtering approaches have been proposed in the field of image noise reduction. We present a brief summary of various removal noise models in this paper. The source of these noise removal models can be used to pick them. The results of various filtering techniques are presented in this paper, and the results of these techniques are compared.

"EXTRACTION OF INFORMATION FROM NOISY BACKGROUND USING SIGNAL PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.d534-d539, May-2021, Available :http://www.jetir.org/papers/JETIR2105460.pdf

"EXTRACTION OF INFORMATION FROM NOISY BACKGROUND USING SIGNAL PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppd534-d539, May-2021, Available at : http://www.jetir.org/papers/JETIR2105460.pdf