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Title: Hybrid DCT-wiener-based interpolation using dual MMSE estimator scheme
Authors: Huang, JJ
Hung, KW
Siu, WC 
Issue Date: 2014
Source: 2014 19th International Conference on Digital Signal Processing : Hong Kong, 20-23 August 2014, 6900764, p. 748-753
Abstract: Hybrid DCT-Wiener-Based interpolation scheme using the learnt Wiener filter can significantly improve both objective and subjective performance by learning a suitable Wiener filter to fit the hybrid scheme with a good mix of spatial and transform domain process. Using the adaptive κ-NN MMSE estimation for each block achieves extraordinary up-sampling results. However, it needs a large database and relatively long processing time. In this paper, we investigate using multiple learnt Wiener filters and combine the information from both the external training images and the original low-resolution image. The proposed dual MMSE estimators adaptively resolve the problem of one general learnt Wiener filter and use less computation time compared with that of the κ-NN MMSE estimation. Experimental results show that the proposed dual MMSE estimators achieve around 1dB PSNR improvement compared to the original hybrid DCT-Wiener-Based scheme and provide more natural visual quality.
Keywords: DCT
Dual estimators
Wiener filter
Publisher: Institute of Electrical and Electronics Engineers Inc.
ISBN: 9781479946129
DOI: 10.1109/ICDSP.2014.6900764
Appears in Collections:Conference Paper

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