PROJECT TITLE :

A Scalable Approximate DCT Architectures For Efficient HEVC Compliant Video Coding - 2017

ABSTRACT:

An approximate kernel for the discrete cosine remodel (DCT) of length 4 is derived from the 4-point DCT defined by the High Efficiency Video Coding (HEVC) standard and used for the computation of DCT and inverse DCT (IDCT) of power-of-two lengths. There are 2 reasons for considering the DCT of length 4 as the essential module. 1st, it allows computation of DCTs of lengths four, 8, sixteen, and 32 prescribed by the HEVC. Second, the DCTs generated by the 4-point DCT not only involve lower complexity, but also offer better compression performance. Absolutely parallel and space-constrained architectures for the proposed approximate DCT are proposed to own flexible tradeoff between the realm and time complexities. Additionally, a reconfigurable architecture is proposed where an eight-purpose DCT will be utilized in place of a try of four-purpose DCTs. Using the same reconfiguration scheme, a thirty two-point DCT may be configured for parallel computation of 2 16-purpose DCTs or four 8-point DCTs or eight 4-point DCTs. The proposed reconfigurable design can support real-time coding for prime-definition video sequences within the 8k ultrahigh-definition television format (7680 × 4320 at thirty frames/s). A unified forward and inverse remodel design is additionally proposed where the hardware complexity is reduced by sharing hardware between the DCT and IDCT computations. The proposed approximation has nearly the identical arithmetic complexity and hardware requirement as those of recently proposed connected ways, however involves considerably less error energy and offers better peak signal-to-noise ratio than the others when DCTs of length additional than eight are used. A detailed comparison of the complexity, energy efficiency, and compression performance of different DCT approximation schemes for video coding is also presented. It's shown that the proposed approximation provides a better compressed-image quality than different approximate DCTs. The proposed methodology can perform HEVC-compliant video coding with marginal degradation of video quality and a small increase the in bit rate, with a fraction of computational complexity of the latter.