%0 Conference Paper
%A Khursheed, S.
%A Jeoti, V.
%A Badruddin, N.
%A Hashmani, M.A.
%D 2020
%F scholars:12899
%I Institute of Electrical and Electronics Engineers Inc.
%K Complex networks; Computational complexity; Decoding; Digital signal processing; Image coding; Interpolation, Decoding delay; Distributed video coding; Motion-compensated temporal interpolations (MCTI); Side information; Side information generations; Simulated results; Wyner-ziv coding; Wyner-Ziv frames, Video signal processing
%R 10.1109/CSNDSP49049.2020.9249540
%T Low complexity Phase-based Interpolation for side information generation for Wyner-Ziv coding at DVC decoder
%U https://khub.utp.edu.my/scholars/12899/
%X In distributed video coding (DVC), the decoder has considerably high computational complexity as compared to the encoder. The side information plays a crucial role in the successful reconstruction of the Wyner-Ziv frame. However, the side information generation process puts a substantial decoding delay due to its high computational complexity. Phase-Based Interpolation (PBI) is introduced in this work for side information generation. The simulated results on different test videos show that the PBI computational complexity remains low for all kinds of videos. It performs 2.5 to 2.7 times faster than motion-compensated temporal Interpolation (MCTI) with an average acceptable loss of 4.5-5.1 dB in PSNR and 0.09-0.11 dB in SSIM while preserving the structure and sharpness in interpolated frames. © 2020 IEEE.
%Z cited By 2; Conference of 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020 ; Conference Date: 20 July 2020 Through 22 July 2020; Conference Code:164941