JOURNAL ARTICLE

Arithmetic coding of a lossless contour based representation of label images

Abstract

We propose a new method for the encoding of label images (also known as segmentation maps or alpha planes) that are often used to identify object location in region-based image and video coders. The method is contour-based and lossless with a contour model composed of two parts: a contour graph describing the topology of the contour network and a directional chain code to deal with the geometric part of the label image (internal contour points). The graph-based description of the topology is designed to minimize the cost of encoding the nodes, while the directional chain codes are compressed by arithmetic coding. The approach is flexible since separating the contour network into topological and geometrical parts allows the use of other lossless or lossy methods to encode the geometric part without changing the graph representation. The proposed method has been compared with an arithmetic encoder used in MPEG-4.

Keywords:
Chain code Lossless compression Arithmetic coding Computer science Lossy compression Artificial intelligence Computer vision Encoder ENCODE Coding (social sciences) Topology (electrical circuits) Data compression Algorithm Mathematics Context-adaptive binary arithmetic coding Image (mathematics)

Metrics

14
Cited By
0.68
FWCI (Field Weighted Citation Impact)
7
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Digital Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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