Simplified Segmentation for Compound Image Compression

14 years 9 months ago
Simplified Segmentation for Compound Image Compression
There are three basic segmentation schemes for compound image compression: object-based, layer-based, and block-based. This work discusses the relative advantages of each scheme and architecture, and studies the use of fast classification techniques for a segmentation that can be used together with a chosen compression architecture. Particularly, we consider classification techniques working on approximate object boundaries, which reduces the localization and precision of the segmentation, but in exchange allows faster, one-pass segmentation, low memory requirements, and a segmentation map that is better matched to existing compression methods. We show numerical results obtained on a printer application environment, where rigorous standards of visual quality have to be satisfied.
Amir Said, Alexander Drukarev
Added 25 Oct 2009
Updated 26 Oct 2009
Type Conference
Year 1999
Where ICIP
Authors Amir Said, Alexander Drukarev
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