Video images compression and restoration methods based on optimal sampling
Drynkin V.N., Nabokov S.A., Tsareva T.I.

 

State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia

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Abstract:
The study proposes video images compression and restoration methods based on multidimensional sampling theory that provide four-fold video compression and subsequent real-time restoration with loss levels below visually perceptible threshold. The proposed methods can be used separately or along with any other video compression techniques, thus providing additional quadruple compression.

Keywords:
video image compression, image reconstruction-restoration, three-dimensional image processing, quincuncial sampling, spatial filtering, spatial resolution.

Citation:
Drynkin VN, Nabokov SA, Tsareva TI. Video images compression and restoration methods based on optimal sampling. Computer Optics 2019; 43(1): 115-122. DOI: 10.18287/2412-6179-2019-43-1-115-122.

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