Coding of segmented images using shape-independent basis functions

An important issue in object-based image coding is the efficient description of image segments having an arbitrary shape. This paper outlines a solution to this task using basic principles of transform image coding that are generalized for the case of arbitrarily shaped image segments. The texture i...

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Bibliographic Details
Published in:IEEE transactions on image processing 1998-07, Vol.7 (7), p.937-947
Main Authors: Kaup, A., Aach, T.
Format: Article
Language:English
Subjects:
Applied sciences
Bit rate
Decoding
Exact sciences and technology
Extrapolation
Image coding
Image processing
Image segmentation
Image sequences
Information, signal and communications theory
Scalability
Shape
Signal processing
Telecommunications and information theory
Transform coding
Two dimensional displays
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Summary:An important issue in object-based image coding is the efficient description of image segments having an arbitrary shape. This paper outlines a solution to this task using basic principles of transform image coding that are generalized for the case of arbitrarily shaped image segments. The texture inside each region is successively approximated using two-dimensional (2-D) shape-independent basis functions defined on a rectangle circumscribing the given image segment. The resulting texture description exhibits a high energy compactness and is well suited for low bit rate image coding. Unlike other approaches aimed at segment-oriented image coding, the proposed concept does not couple texture description with contour coding. The computational load is kept low, especially for the decoding process.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.701143