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Content Provider | IEEE Xplore Digital Library |
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Author | Abeydeer, M. Pasqual, A. |
Copyright Year | 2015 |
Description | Author affiliation: Dept. of Electron. & Telecommun. Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka (Abeydeer, M.; Pasqual, A.) |
Abstract | The inverse transform function of the HEVC Decoder has grown greatly in complexity with the addition of larger transform sizes and recent works have focused on efficient architectures that can achieve the required throughput. In this work we make the observation that a majority of the coefficients in a typical transform operation is zero, and therefore has no impact on the final outcome. We propose an architecture that can efficiently operate on such sparse matrices and introduce a scheduling strategy which completes a 2D IDCT with bare minimum iterations, with the added advantage of being able to integrate seamlessly with the entropy decoder without a coefficient reordering buffer. Experiments show that although the performance of this approach is scalable with the bit rate, a 120 MHz operating frequency is sufficient to handle QHD @ 48 Mbps, which is less than one third of the frequency requirement of prior work. |
Starting Page | 4848 |
Ending Page | 4852 |
File Size | 948206 |
Page Count | 5 |
File Format | |
e-ISBN | 9781479983391 |
DOI | 10.1109/ICIP.2015.7351728 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-09-27 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Decoding Random access memory Laplace equations Entropy Discrete cosine transforms Throughput |
Content Type | Text |
Resource Type | Article |
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