External Prior Guided Internal Prior Learning for Real Noisy Image Denoising.

Most of existing image denoising methods learn image priors from either an external data or the noisy image itself to remove noise. However, priors learned from an external data may not be adaptive to the image to be denoised, while priors learned from the given noisy image may not be accurate due to the interference of corrupted noise. Meanwhile, the noise in real-world noisy images is very compl...