Interpolation of still images using the decay and persistence properties of discrete wavelet transform coefficients

Won-Gee Kwak; Rae-Hong Park; Jae-Hyun Lee

doi:10.1117/12.641815

19 January 2006 Interpolation of still images using the decay and persistence properties of discrete wavelet transform coefficients

Won-Gee Kwak, Rae-Hong Park, Jae-Hyun Lee

Author Affiliations +

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60771K (2006) https://doi.org/10.1117/12.641815
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

According to advances in digital image processing techniques, interest in high-quality still images has been increased. This paper proposes an effective discrete wavelet transform (DWT)-based algorithm that efficiently interpolates a highresolution (HR) still image from a low-resolution (LR) one. The decay and persistence properties of DWT coefficients are utilized for HR image reconstruction. DWT coefficients are initially estimated based on the decay of the Lipschitz exponential and the similarity of DWT coefficients across resolution scales is used for coarse estimation. For optimal fine estimation the mean squared error is iteratively minimized. The proposed DWT-based interpolation algorithm yields better performance than the conventional methods in terms of the peak signal to noise ratio and subjective image quality.

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Won-Gee Kwak, Rae-Hong Park, and Jae-Hyun Lee "Interpolation of still images using the decay and persistence properties of discrete wavelet transform coefficients", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771K (19 January 2006); https://doi.org/10.1117/12.641815

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