Infrared Image Denoising Based on Peer Groups with Median Filtering and Wiener Filtering
Bao Shu Li, Ke Cui, Xue Tao Xu, Wen Li Wei · Applied Mechanics and Materials · 2013
With characteristics of impulse noise and Gaussian noise, we propose a new denoising method to infrared image. We use Sobel operator to obtain boundary information, and determine the denoising method based on the pixel number of the peer group, denoising impulse noise and Gaussian noise with median filter and Wiener filtering. Experimental results are provided to show that the proposed filter achieves a promising performance in PSNR and boundary information, compared with the median filtering, Wiener filtering and peer group algorithms.