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Image Interpolation Using Linear Modeling for the Absolute Values of Wavelet Coefficients Across Scale  

Kim Sang-Soo (Dept. of Electronic Engineering. Pusan National University)
Eom Il-Kyu (Dept. of Information and Communication Miryang National University)
Kim Yoo-Shin (Research Institute of Computer and Information and Communication)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.6, 2005 , pp. 19-26 More about this Journal
Abstract
Image interpolation in the wavelet domain usually takes advantage of the probabilistic models for the intrascale statistics and the interscale dependency. In this paper, we adopt the linear model for the absolute values of wavelet coefficients of interpolated image across scale to estimate the variances of extrapolated bands. The proposed algorithm uses randomly generated wavelet coefficients based on the estimated parameters for probabilistic model. Random number generation according to the estimated probabilistic model may induce the 'salt and pepper' noise in subbands. We reduce the noise power by Wiener filtering. We observe that the proposed method generates the histogram of the subband coefficients similar to the that of original image. Experimental results show that our method outperforms the previous wavelet-domain interpolation method as well as the conventional bicubic method.
Keywords
영상보간;웨이블릿 변환;스케일간 의존성;가우스 혼합모델;
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