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Compressive sampling of binary images

Stankovic, V. and Stankovic, L. and Cheng, S. (2008) Compressive sampling of binary images. In: Congress on Image and Signal Processing, 2008. CISP '08. IEEE, pp. 7-11. ISBN 978-0-7695-3119-9

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Abstract

Compressive sampling is a novel framework that exploits sparsity of a signal in a transform domain to perform sampling below the Nyquist rate. In this paper, we apply compressive sampling to reduce the sampling rate of binary images. A system is proposed whereby the image is split into non-overlapping blocks of equal size and compressive sampling is performed on selected blocks only using the orthogonal matching pursuit technique. The remaining blocks are sampled fully. This way, the complexity and the required sampling time is reduced since the orthogonal matching pursuit operates on a smaller number of samples, and at the same time local sparsity within an image is exploited. Our simulation results show more than 20% saving in acquisition for several binary images.

Item type: Book Section
ID code: 12856
Keywords: compression, compressive sampling, image processing, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 23 Aug 2010 16:49
    Last modified: 17 Jul 2013 13:24
    URI: http://strathprints.strath.ac.uk/id/eprint/12856

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