Effect of Poisson Noise on Remote Sensing Images and Noise Removal using Filters

This paper addresses the issues of noise which involve pre-processing task before using images for various applications. We have applied various filters on remote sensing images for denoising them. The fundamental key challenge to noise reduction is to reduce or eliminate the noise without failing other aspects of the image. Image denoising involves the manipulation of the image data to produce a visually high quality image. There are many kinds of noise has affect remote sensing images but we have selected only Poisson noise and interpret the results thus, we took remote sensing images that denoising them with a Average filter, Median filter, Unsharp filter and Wiener Filter and used statistical quality measured in this work.