@Article{jnm.2021.024665,
AUTHOR = {Xiaoying Chen, Jie Kang, Cong Hu},
TITLE = {Ground Nephogram Enhancement Algorithm Based on Improved Adaptive  Fractional Differentiation},
JOURNAL = {Journal of New Media},
VOLUME = {3},
YEAR = {2021},
NUMBER = {4},
PAGES = {151--180},
URL = {http://www.techscience.com/JNM/v3n4/45477},
ISSN = {2579-0129},
ABSTRACT = {The texture of ground-based nephogram is abundant and multiplicity. 
Many cloud textures are not as clear as artificial textures. A nephogram 
enhancement algorithm based on Adaptive Fractional Differential is established 
to extract the natural texture of visible ground-based cloud image. GrunwaldLentikov (G-L) and Grunwald-Lentikov (R-L) fractional differential operators 
are applied to the enhancement algorithm of ground-based nephogram. An 
operator mask based on adaptive differential order is designed. The 
corresponding mask template is used to process each pixel. The results show that 
this method can extract image texture and edge details and simplify the process 
of differential order selection.},
DOI = {10.32604/jnm.2021.024665}
}