  With the proliferation of sophisticated cameras in modern society, the demand
for accurate and visually pleasing images is increasing. However, the quality
of an image captured by a camera may be degraded by noise. Thus, some
processing of images is required to filter out the noise without losing vital
image features. Even though the current literature offers a variety of
denoising methods, the fidelity and efficacy of their denoising are sometimes
uncertain. Thus, here we propose a novel and computationally efficient image
denoising method that is capable of producing accurate images. To preserve
image smoothness, this method inputs patches partitioned from the image rather
than pixels. Then, it performs denoising on the manifold underlying the
patch-space rather than that in the image domain to better preserve the
features across the whole image. We validate the performance of this method
against benchmark image processing methods.
