Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20948
Title: Block-adaptive DCT-Wiener image up-sampling
Authors: Hung, KW
Siu, WC 
Keywords: DCT
up-sampling
Wiener filter
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2014, 6854717, p. 5809-5813 How to cite?
Abstract: DCT-Wiener image up-sampling scheme is highly desirable since it makes use of the advantages of the information in both spatial and DCT domains. The idea is to combine the observed low-frequency DCT coefficients with the estimated high-frequency DCT coefficients obtained by the Wiener filters in the spatial domain. However, the available 1-D and 2-D Wiener filters that were proposed for high-frequency DCT coefficients estimation are block non-adaptive, mainly due to the limited information from the observed image. In this paper, we propose a block-adaptive Wiener filter by utilizing the information from external training data. During the online estimation, for each image block, the k-nearest relevant DCT LR-HR block pairs are searched from the training data, in order to estimate the coefficients of the Wiener filter. Experimental results show that the proposed block-adaptive Wiener filter improves the PSNR value of the DCT-Wiener scheme by 1.5 dB compared with that using non-adaptive 1-D Wiener filter.
Description: 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, 4-9 May 2014
URI: http://hdl.handle.net/10397/20948
ISBN: 9781479928927
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2014.6854717
Appears in Collections:Conference Paper

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