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


Autoria(s): Chowdhury, Morshed; Ray, Sid; Pham, Thao
Contribuinte(s)

Debnath, Narayan

Data(s)

01/01/2004

Resumo

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.<br />

Identificador

http://hdl.handle.net/10536/DRO/DU:30005387

Idioma(s)

eng

Publicador

International Society for Computers and Their Applications (ISCA)

Relação

http://dro.deakin.edu.au/eserv/DU:30005387/chowdhury-performanceofstatisical-2004.pdf

Palavras-Chave #video coding #blocking artefact #linear filtering #statistical inference #entropy
Tipo

Conference Paper