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6 November 1998 Image representation and compression via adaptive multi-Gabor representations
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Abstract
We present some initial study results on image representation and compression using multi-Gabor representations. 2D multi-Gabor representations (MGRs) are a technique of Gabor representations incorporating a set of nonseparable 2D window waveforms in a basis-like system. Windows use in a MGR can be customized to have different spatial and frequency orientations and different spatial and frequency localizations. MGRs have obvious values in efficient image representations and/or compression since an image signal typically has a variety of spatial and frequency contents and orientations. An image could also have textures of different orientations. A multi-Gabor representation that incorporates a set of windows of different localizations and orientations has a build-in adaptive potential, which can provide the most concise representation.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shidong Li "Image representation and compression via adaptive multi-Gabor representations", Proc. SPIE 3456, Mathematics of Data/Image Coding, Compression, and Encryption, (6 November 1998); https://doi.org/10.1117/12.330374
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