• Velpuri Sushmitha
• Karthick
• A.Sreeramulu
• Chilumula Ravali
• Kallepelli Anusha

Noise reduction is often necessary and the first step to be taken before analyzing image data. The main goal of digital image processing is to remove various noise from all kinds of different images. It is therefore necessary that you have knowledge of the various noise in the image to determine the appropriate noise reduction algorithm. Noise is particularly affected by images taken from satellites, which reduces image quality. There are many reasons for this noise, such as salt, pepper, speckle, Gaussian. Because noise is very specific, many noise removal methods are designed for this purpose only. There are also some general methods for removing noise that have been slightly modified in order to remove noise spots. In this paper, filters reduce the spots are the frost filter, Gaussian filter smooth and the average filter which must be done based on the specific results for different noise conditions. This paper explains the techniques of the image noise reduction filter based on image quality standards at a different level of noise images.

Salt and Pepper, Gaussian noise, Speckle noise, Frost filter, Gaussian smooth filter and Averaging filter

"DENOISING USING SPECKLE NOISE REDUCTION FILTERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.413-420, March-2019, Available :http://www.jetir.org/papers/JETIRAU06058.pdf

"DENOISING USING SPECKLE NOISE REDUCTION FILTERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp413-420, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06058.pdf