A new low-complexity approximate DCT for image and video compression

Hsin Kun Lin; Chi Chia Sun; Ming Hwa Sheu; Mladen Berecovic

doi:10.1080/02533839.2020.1786463

A new low-complexity approximate DCT for image and video compression

Hsin Kun Lin^*, Chi Chia Sun, Ming Hwa Sheu, Mladen Berecovic

^*Corresponding author for this work

4 Citations (Scopus)

Abstract

In this paper, a new approximate discrete cosine transform (DCT) architecture for an H.265/HEVC video compression codec is proposed. In order to reduce the computational complexity, a conﬁguration of basic elements by 0, ±0.5, ±1 is proposed to improve the DCT coeﬃcient performance. Next, we derive diﬀerent DCT coeﬃcients for diﬀerent transform block sizes based on DCT symmetry properties for H.265. Experimental results show that the proposed DCT can increase by 4 dB with a peak signal-to-noise ratio (PSNR) on average compared with general approximate DCT approaches. In comparison with recent approximation DCTs, the proposed architecture cannot only reduce the computational complexity but can also obtain good quality in PSNR. The proposed conﬁgurable DCT architecture successfully reduces approximately 40% of the hardware cost for multiple transform blocks.

Original language	English
Journal	Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A
Volume	43
Issue number	6
Pages (from-to)	580-591
Number of pages	12
ISSN	0253-3839
DOIs	https://doi.org/10.1080/02533839.2020.1786463
Publication status	Published - 17.08.2020
Externally published	Yes

Funding

The authors are very grateful to the anonymous referees for their detailed comments and suggestions regarding this paper. This research was supported in part by the Ministry of Science and Technology of Taiwan, under the contracts of MOST-107-2911-I-150 -501, Department of Electrical Engineering, National Formosa University, Smart Machine and Intelligent Manufacturing Research Center, National Formosa University, Center for Doctoral Studies Lübeck, Universität Zu Lübeck.

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10.1080/02533839.2020.1786463

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title = "A new low-complexity approximate DCT for image and video compression",

abstract = "In this paper, a new approximate discrete cosine transform (DCT) architecture for an H.265/HEVC video compression codec is proposed. In order to reduce the computational complexity, a conﬁguration of basic elements by 0, ±0.5, ±1 is proposed to improve the DCT coeﬃcient performance. Next, we derive diﬀerent DCT coeﬃcients for diﬀerent transform block sizes based on DCT symmetry properties for H.265. Experimental results show that the proposed DCT can increase by 4 dB with a peak signal-to-noise ratio (PSNR) on average compared with general approximate DCT approaches. In comparison with recent approximation DCTs, the proposed architecture cannot only reduce the computational complexity but can also obtain good quality in PSNR. The proposed conﬁgurable DCT architecture successfully reduces approximately 40\% of the hardware cost for multiple transform blocks.",

author = "Lin, \{Hsin Kun\} and Sun, \{Chi Chia\} and Sheu, \{Ming Hwa\} and Mladen Berecovic",

note = "Funding Information: The authors are very grateful to the anonymous referees for their detailed comments and suggestions regarding this paper. This research was supported in part by the Ministry of Science and Technology of Taiwan, under the contracts of MOST-107-2911-I-150 -501, Department of Electrical Engineering, National Formosa University, Smart Machine and Intelligent Manufacturing Research Center, National Formosa University, Center for Doctoral Studies L{\"u}beck, Universit{\"a}t Zu L{\"u}beck. Publisher Copyright: {\textcopyright} 2020 The Chinese Institute of Engineers. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

year = "2020",

month = aug,

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doi = "10.1080/02533839.2020.1786463",

language = "English",

volume = "43",

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T1 - A new low-complexity approximate DCT for image and video compression

AU - Lin, Hsin Kun

AU - Sun, Chi Chia

AU - Sheu, Ming Hwa

AU - Berecovic, Mladen

N1 - Funding Information: The authors are very grateful to the anonymous referees for their detailed comments and suggestions regarding this paper. This research was supported in part by the Ministry of Science and Technology of Taiwan, under the contracts of MOST-107-2911-I-150 -501, Department of Electrical Engineering, National Formosa University, Smart Machine and Intelligent Manufacturing Research Center, National Formosa University, Center for Doctoral Studies Lübeck, Universität Zu Lübeck. Publisher Copyright: © 2020 The Chinese Institute of Engineers. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/8/17

Y1 - 2020/8/17

N2 - In this paper, a new approximate discrete cosine transform (DCT) architecture for an H.265/HEVC video compression codec is proposed. In order to reduce the computational complexity, a conﬁguration of basic elements by 0, ±0.5, ±1 is proposed to improve the DCT coeﬃcient performance. Next, we derive diﬀerent DCT coeﬃcients for diﬀerent transform block sizes based on DCT symmetry properties for H.265. Experimental results show that the proposed DCT can increase by 4 dB with a peak signal-to-noise ratio (PSNR) on average compared with general approximate DCT approaches. In comparison with recent approximation DCTs, the proposed architecture cannot only reduce the computational complexity but can also obtain good quality in PSNR. The proposed conﬁgurable DCT architecture successfully reduces approximately 40% of the hardware cost for multiple transform blocks.

AB - In this paper, a new approximate discrete cosine transform (DCT) architecture for an H.265/HEVC video compression codec is proposed. In order to reduce the computational complexity, a conﬁguration of basic elements by 0, ±0.5, ±1 is proposed to improve the DCT coeﬃcient performance. Next, we derive diﬀerent DCT coeﬃcients for diﬀerent transform block sizes based on DCT symmetry properties for H.265. Experimental results show that the proposed DCT can increase by 4 dB with a peak signal-to-noise ratio (PSNR) on average compared with general approximate DCT approaches. In comparison with recent approximation DCTs, the proposed architecture cannot only reduce the computational complexity but can also obtain good quality in PSNR. The proposed conﬁgurable DCT architecture successfully reduces approximately 40% of the hardware cost for multiple transform blocks.

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A new low-complexity approximate DCT for image and video compression

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