Enhanced Configurable DCT Cordic Loeffler Architectures for Optimal Power-PSNR Trade-Off
| Autor: | Younes Lahbib, Imen Ben Saad, Yassine Hachaïchi, Sonia Mami |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Image quality Computer science 020208 electrical & electronic engineering Real-time computing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Ranging 02 engineering and technology 020202 computer hardware & architecture Theoretical Computer Science Power (physics) Image (mathematics) Hardware and Architecture Control and Systems Engineering Modeling and Simulation Signal Processing Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering Discrete cosine transform CORDIC business Algorithm Digital signal processing Information Systems |
| Zdroj: | Journal of Signal Processing Systems. 90:371-393 |
| ISSN: | 1939-8115 1939-8018 |
| DOI: | 10.1007/s11265-017-1245-7 |
| Popis: | The Discrete Cosine Transform (DCT) is one of the most widely used techniques of transforms in digital signal processing. It is the main algorithm in image and video coding systems. In this paper, we propose an algorithm which generates enhanced Cordic based Loeffler DCT architectures for angle’s precision degrees ranging from 10−1 to 10−7. High level PSNR, area and power estimators have been proposed to make a trade-off between consumption and image quality. An optimal architecture has been retained for its low complexity, low power and high PSNR. The complexity of this architecture is the lowest among the conventional DCT architectures even the BinDCT which is a reference in terms of reduced complexity. The selected architecture has also the closest PSNR to the reference Loeffler-DCT architecture without a substancial loss of power. |
| Databáze: | OpenAIRE |
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