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1995
Journal Article
Titel
Efficiency of shape-adaptive 2-D transforms for coding of arbitrarily shaped image segments
Abstract
We introduce a formula to compute an optimum 2-D shape-adaptive Karhunen-Loeve transform (KLT) suitable for coding pels in arbitrarily-shaped image segments. The efficiency of the KLT on a 2-D AR(1) process is used to benchmark two other shape-adaptive transforms described in literature. It is shown that the optimum KLT significantly outperforms the well known shape-adaptive DCT method introduced by Gilge et al. (1989) for coding Segments of arbitrary shape in intraframe coding mode. A statistical transform gain close to the Gilge-method can be achieved with a shape-adaptive DCT algorithm introduced by Sikora and Makai (see Proc. Workshop Image Anal. Image Coding, Berlin, FRG, Nov. 1993) which is implemented with much lower complexity.
Tags
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adaptive signal processing
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discrete cosine transforms
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image coding
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image segmentation
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transform coding
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transforms
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karhunen-loeve transform
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arbitrarily shaped image segments
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shape-adaptive 2-d transforms
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klt
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shape-adaptive dct method
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intraframe coding
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statistical transform gain
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shape-adaptive dct algorithm
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lower complexity
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efficiency