Deep Learning for Image Denoising
Hui Ming Li · International Journal of Signal Processing Image Processing and Pattern Recognition · 2014
Deep learning is an emerging approach for finding concise, slightly higher level representations of the inputs, and has been successfully applied to many practical learning problems, where the goal is to use large data to help on a given learning task.We present an algorithm for image denoising task defined by this model, and show that by training on large image databases we are able to outperform the current state-of-the-art image denoising methods.