Low-complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform

Paulo A. M. Oliveira 1 Renato J. Cintra 1, 2 Fabio M. Bayer 3 Sunera Kulasekera 4 Arjuna Madanayake 4
1 Universidade Federal de Pernambuco [Recife]
2 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
3 UFSM - Universidade Federal de Santa Maria
4 University of Akron
Abstract : The usage of linear transformations has great relevance for data decorrelation applications, like image and video compression. In that sense, the discrete Tchebichef transform (DTT) possesses useful coding and decorrelation properties. The DTT transform kernel does not depend on the input data and fast algorithms can be developed to real time applications. However, the DTT fast algorithm presented in literature possess high computational complexity. In this work, we introduce a new lowcomplexity approximation for the DTT. The fast algorithm of the proposed transform is multiplication-free and requires a reduced number of additions and bit-shifting operations. Image and video compression simulations in popular standards shows good performance of the proposed transform. Regarding hardware resource consumption for FPGA shows 43.1% reduction of configurable logic blocks and ASIC place and route realization shows 57.7% reduction in the area-time figure when compared with the 2-D version of the exact DTT.
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Article dans une revue
IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers, 2016, 〈10.1109/TCSVT.2016.2515378〉
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https://hal.inria.fr/hal-01319513
Contributeur : Olivier Sentieys <>
Soumis le : vendredi 20 mai 2016 - 18:47:45
Dernière modification le : mercredi 16 mai 2018 - 11:23:27

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Paulo A. M. Oliveira, Renato J. Cintra, Fabio M. Bayer, Sunera Kulasekera, Arjuna Madanayake. Low-complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform. IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers, 2016, 〈10.1109/TCSVT.2016.2515378〉. 〈hal-01319513〉

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