@Article{jiot.2020.09073,
AUTHOR = {Peng Xu, Jianwei Zhang},
TITLE = {An Expected Patch Log Likelihood Denoising Method Based on Internal and  External Image Similarity},
JOURNAL = {Journal on Internet of Things},
VOLUME = {2},
YEAR = {2020},
NUMBER = {1},
PAGES = {13--21},
URL = {http://www.techscience.com/jiot/v2n1/39677},
ISSN = {2579-0080},
ABSTRACT = {Nonlocal property is an important feature of natural images, which 
means that the patch matrix formed by similar image patches is low-rank.
Meanwhile, learning good image priors is of great importance for image 
denoising. In this paper, we combine the image self-similarity with EPLL
(Expected patch log likelihood) method, and propose an EPLL denoising model 
based on internal and external image similarity to improve the preservation of 
image details. The experiment results show that the validity of our method is 
proved from two aspects of visual and numerical results.},
DOI = {10.32604/jiot.2020.09073}
}