his work describes an approximate DCT architecture for the High Efficiency Video Coding (HEVC) standard. Since the standard requires to support multiple block sizes, architectures based on exact implementation require a relevant amount of hardware resources, namely multipliers and adders. This work aims to reduce the amount of hardware resources while keeping the rate-distortion performance nearly optimal. To achieve this goal, this work exploits an exact factorization of the DCT of size N = 8, which is then extended to obtain approximate DCTs of size N = 16 and N = 32. Simulation and implementation results prove that the proposed approximate solution features a complexity reduction with respect to exact one of more than 43% with an average rate-distortion performance loss of 4.74% for the worst-case (all-intra) configuration.

Approximate Arai DCT Architecture for HEVC / Renda, Giovanni; Masera, Maurizio; Martina, Maurizio; Masera, Guido. - STAMPA. - 1:(2017), pp. 133-136. (Intervento presentato al convegno New Generation of CAS tenutosi a Genova (ITA) nel 7-9 settembre) [10.1109/NGCAS.2017.38].

Approximate Arai DCT Architecture for HEVC

Masera, Maurizio;Martina, Maurizio;Masera, Guido
2017

Abstract

his work describes an approximate DCT architecture for the High Efficiency Video Coding (HEVC) standard. Since the standard requires to support multiple block sizes, architectures based on exact implementation require a relevant amount of hardware resources, namely multipliers and adders. This work aims to reduce the amount of hardware resources while keeping the rate-distortion performance nearly optimal. To achieve this goal, this work exploits an exact factorization of the DCT of size N = 8, which is then extended to obtain approximate DCTs of size N = 16 and N = 32. Simulation and implementation results prove that the proposed approximate solution features a complexity reduction with respect to exact one of more than 43% with an average rate-distortion performance loss of 4.74% for the worst-case (all-intra) configuration.
2017
978-1-5090-6447-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2689773
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