Analysis of effect of noise removal filters on noisy remote sensing images
Narayan P. Bhosale, Ramesh R. Manza · 2013
In this work, 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. RS (Remote Sensing) Image denoising involves the manipulation of the image data to produce a visually high quality image. There are many kinds of noise that affect on remote sensing images but we have selected only impulsive noise i.e. Gaussian noise and Salt & Pepper Noise. In a simulation we took remote sensing images and analyzed it with an Average filter, Median filter, unsharp filter and Wiener Filter and using statistical quality measures. The analysis of effect of noise removal technique is given in this paper.