International Conference on Acoustics, Speech, and Signal Processing · 2002 · 12 citations · 4 references
ComputingComputer ScienceComputer GraphicsComputer VisionDigital ImagingData CompressionDigital Image ProcessingDigital Signal ProcessingImage CompressionImage ProcessingImage ReconstructionBasis FunctionsDecoder DesignImage EncodingImage Signal ProcessingLeast Squares ApproximationPolynomial Basis FunctionsTransform CodingVideo Compression
The method of transform coding for image-data compression is generalized by regarding transform coding as a least-squares approximation of two-dimensional functions. By an orthogonalization of basis functions with respect to a particular segment shape, a generalized transform coding scheme is derived. The algorithm contains all block-oriented transforms as special cases and allows the construction of new transforms, e.g. polynomial or spline transforms. The theoretical results are converted into coder and decoder structures enabling region-oriented transform coding without a transmission of the orthogonal basis functions for each segment.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Second-generation image-coding techniques
M. Kunt, A. Ikonomopoulos, M. Kocher · Proceedings of the IEEE · 1985 · 645 citations
Polynomial representation of pictures
Murray Eden, Michaël Unser, Riccardo Leonardi · Signal Processing · 1986 · 54 citations