Comparing objective and subjective quality results for compression pre-processing with non-linear diffusion

Kopilovic, Ivan; Sziranyi, Tamas

Comparing objective and subjective quality results for compression pre-processing with non-linear diffusion

Dateien

Kopilovic_231227.pdfGröße: 456.21 KBDownloads: 256

Datum

2003

Autor:innen

Kopilovic, Ivan

Sziranyi, Tamas

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

GRIFFIN, Lewis D., ed., Martin LILLHOLM, ed.. Scale Space Methods in Computer Vision. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003, pp. 729-743. Lecture Notes in Computer Science. 2695. ISBN 978-3-540-40368-5. Available under: doi: 10.1007/3-540-44935-3_51

Zusammenfassung

Compression systems like JPEG include optional pre-processing with filtering to avoid compression artefacts. At higher compression ratios a stronger filtering is needed that impacts the large scale image content. To preserve the large scale information we have previously proposed to use non-linear diffusion as a pre-processing for filtering out small scale details irrelevant at a given compression ratio and acting as noise. Now we compare typical diffusion processes applied before the blockwise DCT compression using the peak signal to noise ration (PSNR) as an objective quality measure. We give a simple measure of artefact reduction in terms of PSNR, and show that a considerable artefact reduction is achieved by pre-processing at the same bit rate as and with no greater error than the original compression. We did tests to see if the above artefact reduction implies a better subjective impression of quality. The images processed with the PSNR-based algorithm had nearly the same but greater PSNR value as the original compression. Subjects preferred noisy image content to the lack of small scale details, so the subjective preference of the images with reduced artefact is worse that of the original compression. Results suggest however that non-linear diffusion is more efficient for artefact reduction than non-adaptive smoothing like Gaussian filtering in terms of the subjective preference.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

KOPILOVIC, Ivan, Tamas SZIRANYI, 2003. Comparing objective and subjective quality results for compression pre-processing with non-linear diffusion. In: GRIFFIN, Lewis D., ed., Martin LILLHOLM, ed.. Scale Space Methods in Computer Vision. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003, pp. 729-743. Lecture Notes in Computer Science. 2695. ISBN 978-3-540-40368-5. Available under: doi: 10.1007/3-540-44935-3_51

BibTex

@inproceedings{Kopilovic2003-06-24Compa-23122,
  year={2003},
  doi={10.1007/3-540-44935-3_51},
  title={Comparing objective and subjective quality results for compression pre-processing with non-linear diffusion},
  number={2695},
  isbn={978-3-540-40368-5},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Scale Space Methods in Computer Vision},
  pages={729--743},
  editor={Griffin, Lewis D. and Lillholm, Martin},
  author={Kopilovic, Ivan and Sziranyi, Tamas}
}

RDF

<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/23122">
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:title>Comparing objective and subjective quality results for compression pre-processing with non-linear diffusion</dcterms:title>
    <dcterms:issued>2003-06-24</dcterms:issued>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-06-20T06:14:41Z</dcterms:available>
    <dc:contributor>Sziranyi, Tamas</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/23122"/>
    <dc:creator>Sziranyi, Tamas</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:bibliographicCitation>Scale space methods in computer Vision : 4th International Conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003; proceedings / Lewis D. Griffin ... (eds.). - Berlin [u.a.] : Springer, 2003. - S. 729-743. - (Lecture notes in computer science ; 2695). - ISBN 9783540403685</dcterms:bibliographicCitation>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-06-20T06:14:41Z</dc:date>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/23122/1/Kopilovic_231227.pdf"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/23122/1/Kopilovic_231227.pdf"/>
    <dcterms:abstract xml:lang="eng">Compression systems like JPEG include optional pre-processing with filtering to avoid compression artefacts. At higher compression ratios a stronger filtering is needed that impacts the large scale image content. To preserve the large scale information we have previously proposed to use non-linear diffusion as a pre-processing for filtering out small scale details irrelevant at a given compression ratio and acting as noise. Now we compare typical diffusion processes applied before the blockwise DCT compression using the peak signal to noise ration (PSNR) as an objective quality measure. We give a simple measure of artefact reduction in terms of PSNR, and show that a considerable artefact reduction is achieved by pre-processing at the same bit rate as and with no greater error than the original compression. We did tests to see if the above artefact reduction implies a better subjective impression of quality. The images processed with the PSNR-based algorithm had nearly the same but greater PSNR value as the original compression. Subjects preferred noisy image content to the lack of small scale details, so the subjective preference of the images with reduced artefact is worse that of the original compression. Results suggest however that non-linear diffusion is more efficient for artefact reduction than non-adaptive smoothing like Gaussian filtering in terms of the subjective preference.</dcterms:abstract>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:rights>terms-of-use</dc:rights>
    <dc:language>eng</dc:language>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Kopilovic, Ivan</dc:contributor>
    <dc:creator>Kopilovic, Ivan</dc:creator>
  </rdf:Description>
</rdf:RDF>