Deakin University
Browse

File(s) under permanent embargo

Performance of statistical inference for block classification in reducing blocking artefact in video coded images

conference contribution
posted on 2004-01-01, 00:00 authored by Morshed ChowdhuryMorshed Chowdhury, S Ray, Thao Pham
This paper presents a performance study of four statistical test algorithms used to identify smooth image blocks in order to filter the reconstructed image of a video coded image. The four algorithms considered are the Coefficient of Variation (CV), Exponential Entropy of Pal and Pal (E), Shannon's (Logarithmic) Entropy (H), and Quadratic Entropy (Q). These statistical algorithms are employed to distinguish between smooth and textured blocks in a reconstructed image. The linear filtering is carried out on the smooth blocks of the image to reduce the blocking artefact. The rationale behind applying the filter on the smooth blocks only is that the blocking artefact is visually more prominent in the smooth region of an image rather than in the textured region.

History

Title of proceedings

CSITeA'04 : Third International Conference on Computer Sciences, Software Engineering, Information Technology, E-Business and Applications

Event

Conference on Computer Sciences, Software Engineering, Information Technology, E-Business and Applications (3rd: 2004 : Cairo, Egypt)

Pagination

1 - 4

Publisher

International Society for Computers and Their Applications (ISCA)

Location

Cairo, Egypt

Place of publication

Cairo, Egypt

Start date

2004-12-27

End date

2004-12-29

ISBN-13

9780974205915

ISBN-10

0974205915

Language

eng

Publication classification

E1 Full written paper - refereed; E Conference publication

Editor/Contributor(s)

N Debnath

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC