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...
Main Authors: | Gihwan Lee, Yoonsik Choe |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9489302/ |
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