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Image Compression Based on a Partially Rotated Discrete Cosine Transform With a Principal Orientation

Image transforms are necessary for image and video compression. Analytic transforms are powerful in compacting natural signals for wider exploitation. Various methods have been introduced to represent such data as a small number of bases, and several of these methods use machine learning, usually ba...

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Opis bibliograficzny
Główni autorzy: Gihwan Lee, Yoonsik Choe
Format: Artigo
Język:Inglês
Wydane: IEEE 2021-01-01
Seria:IEEE Access
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Dostęp online:https://ieeexplore.ieee.org/document/9489302/
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