Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19387
Title: Hybrid DCT-Wiener-based interpolation via learnt Wiener filter
Authors: Hung, KW
Siu, WC 
Keywords: Hybrid DCT-Wiener
Interpolation
Scalable video coding
Up-sampling
Issue Date: 2013
Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2013, 6637885, p. 1419-1423 How to cite?
Abstract: The hybrid DCT-Wiener-based (DCT-WB) interpolation scheme provides a powerful framework to interpolate an image by utilizing the information in both spatial and DCT domain. In this paper, we investigate the bottleneck of this hybrid scheme and propose a 2D non-separable block-based Wiener filter for the hybrid scheme. The Wiener filter is learnt using training image pairs through the minimum mean squares error estimation. The proposed Wiener filter resolves the quarter-pixel shift issue and provides much better performance over the original 1D 6-tap pixel-based Wiener filter. Experimental results show that incorporating the proposed Wiener filter into the hybrid scheme improves the PSNR (0.44 dB), SSIM and subjective quality for our extensive experimental work on testing images with various contents.
Description: 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, BC, 26-31 May 2013
URI: http://hdl.handle.net/10397/19387
ISBN: 9781479903566
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2013.6637885
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