M
Michael T. Orchard
Researcher at Princeton University
Publications - 117
Citations - 8885
Michael T. Orchard is an academic researcher from Princeton University. The author has contributed to research in topics: Wavelet & Wavelet transform. The author has an hindex of 38, co-authored 117 publications receiving 8655 citations. Previous affiliations of Michael T. Orchard include University of Illinois at Urbana–Champaign & Bell Labs.
Papers
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Journal ArticleDOI
New edge-directed interpolation
Xin Li,Michael T. Orchard +1 more
TL;DR: Simulation results demonstrate that the new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
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Color quantization of images
TL;DR: The authors develop algorithms for the design of hierarchical tree structured color palettes incorporating performance criteria which reflect subjective evaluations of image quality, which produce higher-quality displayed images and require fewer computations than previously proposed methods.
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Overlapped block motion compensation: an estimation-theoretic approach
TL;DR: This analysis establishes for the first time how (and why) OBMC can offer substantial reductions in prediction error as well, even with no change in the encoder's search and no extra side information.
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Space-frequency quantization for wavelet image coding
TL;DR: The problem of how spatial quantization modes and standard scalar quantization can be applied in a jointly optimal fashion in an image coder is addressed and an image coding algorithm is developed for solving the resulting optimization problem.
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Multiple description coding using pairwise correlating transforms
TL;DR: In this article, the authors proposed a transform-based approach for multiple description coding (MDC), where the objective is to encode a source into multiple bitstreams supporting multiple quality levels of decoding, such as high-quality reconstruction from the two bitsstreams together, while lower, but still acceptable, quality reconstructions should be decodable from either of the two individual bit streams.