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


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 languageEnglish
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A
Issue number6
Pages (from-to)580-591
Number of pages12
Publication statusPublished - 17.08.2020
Externally publishedYes


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