Using online dictionary learning to improve Bayer pattern image coding

Ground Nephogram Enhancement Algorithm Based on Improved Adaptive Fractional Differentiation

“…There exist many problems such as loud noises, unclear images of optical imaging instruments for obtaining groundbased clouds in the research of automatic recognition of ground clouds. It is hard to get precise identification of cloud image for user because of the impact of natural environment factors, such as light, rain, fog and dust and so on [4][5]. Therefore, the cloud image should be preprocessed while extracting the useful information of the ground-based cloud as much as possible.…”