Model for Estimation of Bounds in Digital Coding of Seabed Images
dc.contributor.author | Samcovic, Andreja | |
dc.coverage.issue | 3 | cs |
dc.coverage.volume | 24 | cs |
dc.date.accessioned | 2015-10-26T08:05:46Z | |
dc.date.available | 2015-10-26T08:05:46Z | |
dc.date.issued | 2015-09 | cs |
dc.description.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. | en |
dc.format | text | cs |
dc.format.extent | 830-839 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Radioengineering. 2015 vol. 24, č. 3, s. 830-839. ISSN 1210-2512 | cs |
dc.identifier.doi | 10.13164/re.2015.0830 | en |
dc.identifier.issn | 1210-2512 | |
dc.identifier.uri | http://hdl.handle.net/11012/51752 | |
dc.language.iso | en | cs |
dc.publisher | Společnost pro radioelektronické inženýrství | cs |
dc.relation.ispartof | Radioengineering | cs |
dc.relation.uri | http://www.radioeng.cz/fulltexts/2015/15_03_0830_0839.pdf | cs |
dc.rights | Creative Commons Attribution 3.0 Unported License | en |
dc.rights.access | openAccess | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
dc.subject | Image coding | en |
dc.subject | entropy coding | en |
dc.subject | image denoising | en |
dc.subject | rate distortion theory | en |
dc.subject | signal to noise ratio | en |
dc.title | Model for Estimation of Bounds in Digital Coding of Seabed Images | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |
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