A Sobel-TV based Hybrid Model for De-noising Remote Sensing Image with Gaussian and Salt-pepper Noise
Jihui Tu, Jiang Zheng, Xiaodong Wu · International Journal of Signal Processing Image Processing and Pattern Recognition · 2015
The pre-processed remote sensing images are often polluted by Gaussian and salt-pepper noises.In order to solve this problem, a Sobel-TV based hybrid model is proposed to de-noise the pre-processed remote sensing images.It uses TV model to de-noise and uses Sobel algorithm to control smoothness of the image' edge.This proposed method will not only efficiently remove image noise but also simultaneously reserves detail information such as edge and texture.Experimental results show the proposed algorithm achieves better SNR and SSIM compared with other methods.In terms of visual quality, the proposed algorithm can remove the noise of the images and preserve more details, which is important value to preprocess remote sensing image.