抽象的な

Removal of Impulse Noise from Remote Sensing Images Using Wavelets Based on Image Fusion Algorithm

T. Ajay, G. Anand Kumar

Remote sensing plays a prominent role in many domains related to the observation of the earth such as agriculture monitoring, military battles, land cover, oceanography etc. The multiple sensors are used for capturing the images in remote sensing applications. In remote sensing applications the sensor output images are mainly affected by Impulse noise. This impulse noise can be removed by using various filtering methods. In this paper Image fusion is used for combining multiple sensor images into single image. The resultant image can be de-noised by using wavelets filtering algorithm. The performance evaluation of the filtered and fused image with respect to the original image is calculated by using Peak signal to noise ratio (PSNR).