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JOURNALS // Computer Optics // Archive

Computer Optics, 2019 Volume 43, Issue 1, Pages 115–122 (Mi co611)

IMAGE PROCESSING, PATTERN RECOGNITION

Video images compression and restoration methods based on optimal sampling

V. N. Drynkin, S. A. Nabokov, T. I. Tsareva

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

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.

Received: 20.06.2018
Accepted: 25.10.2018

Language: English

DOI: 10.18287/2412-6179-2019-43-1-115-122



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