Treffer: Context based coding of binary shapes by object boundary straightness analysis

Title:
Context based coding of binary shapes by object boundary straightness analysis
Source:
DCC 2004 (Data Compression Conference). :399-408
Publisher Information:
Los Alamitos CA: IEEE Computer Society, 2004.
Publication Year:
2004
Physical Description:
print, 16 ref 1
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Research Center COM, 345v, Technical University of Denmark, Denmark
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.17644354
Database:
PASCAL Archive

Weitere Informationen

A new lossless compression scheme for bi-level images targeted at binary shapes of image and video objects is presented. The scheme is based on a local analysis of the digital straightness of the causal part of the object boundary, which is used in the context definition for arithmetic encoding. Tested on individual images of binary shapes and binary layers of digital maps the algorithm outperforms PWC, JBIG and MPEG-4 CAE. On the binary shapes the code lengths are reduced by 21%, 25%, and 42%, respectively. On the maps the reductions are 34%, 32%, and 59%, respectively. The algorithm is also more efficient than the state-of-the-art and more complex Free Tree coder for most of the binary shape and map test images.