Approximate DCT Design for Video Encoding Based on Novel Truncation Scheme

Heming Sun*, Zhengxue Cheng, Amir Masoud Gharehbaghi, Shinji Kimura, Masahiro Fujita

*この研究の対応する著者

研究成果: Article査読

18 被引用数 (Scopus)

抄録

This paper presents an energy- and area-efficient architecture for approximated discrete cosine transform (DCT). Due to the good compression ability, DCT is widely exploited in signal processing. However, it is computationally intensive especially for large transform sizes. In this paper, we have reduced the computation cost of DCT by truncating a couple of least significant bits (LSB), most significant bits (MSB), and zero columns. First, considering that the contribution of LSBs is weakened because of the final right shift operation, we have eliminated the computation process for some LSBs. For the addition of the remaining LSBs, a parallel carry propagation adder is proposed to reduce the calculation latency. Second, owing to the phenomenon that high-frequency components are quite small in natural scenes, a couple of MSBs are selectively truncated according to their positions. Third, quantization is taken into account for the system-level optimization. The quantized results of all-zero columns are utilized to skip the column transforms afterward. The experimental results show that at most 32% area consumption and 60% power consumption can be reduced compared with the originally accurate DCT, while the compression efficiency loss caused by the DCT approximation is negligible for High Efficiency Video Coding.

本文言語English
論文番号8558684
ページ(範囲)1517-1530
ページ数14
ジャーナルIEEE Transactions on Circuits and Systems I: Regular Papers
66
4
DOI
出版ステータスPublished - 2019 4

ASJC Scopus subject areas

  • 電子工学および電気工学

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