Model for Estimation of Bounds in Digital Coding of Seabed Images
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Date
2015-09
Authors
ORCID
Advisor
Referee
Mark
Journal Title
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Společnost pro radioelektronické inženýrství
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Abstract
This paper proposes the novel model for estimation of bounds in digital coding of images. Entropy coding of images is exploited to measure the useful information content of the data. The bit rate achieved by reversible compression using the rate-distortion theory approach takes into account the contribution of the observation noise and the intrinsic information of hypothetical noise-free image. Assuming the Laplacian probability density function of the quantizer input signal, SQNR gains are calculated for image predictive coding system with non-adaptive quantizer for white and correlated noise, respectively. The proposed model is evaluated on seabed images. However, model presented in this paper can be applied to any signal with Laplacian distribution.
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Citation
Radioengineering. 2015 vol. 24, č. 3, s. 830-839. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2015/15_03_0830_0839.pdf
http://www.radioeng.cz/fulltexts/2015/15_03_0830_0839.pdf
Document type
Peer-reviewed
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en