An approach to image denoising using manifold approximation without clean images

Understand

Image restoration has been an extensively researched topic in numerous fields.

• With the advent of deep learning, a lot of the current algorithms were replaced by algorithms that are more flexible and robust.
• Deep networks have demonstrated impressive performance in a variety of tasks like blind denoising, image enhancement, deblurring, super-resolution, inpainting, among others.
• Most of these learning-based algorithms use a large amount of clean data during the training process.