Image interpolation by Estimation and Deconvolution of Wavelet Approximate Subband
Hiroshi Yasuno, Werapon Chiracharit, Kosin Chamnongthai · 2008
This paper proposes a method of image interpolation by estimation and deconvolution of wavelet approximate subband. In this method, wavelet approximate subband that contains much information is firstly interpolated by interpolation methods such as cubic spline in order to find the decimated low-pass component of the image. The low-pass component is then deconvoluted for getting the original image. To confirm the effectiveness of proposed method, the experimental results performed with standard test images reveal that proposed method outperforms conventional methods. The best result in peak-signal-to-noise-ratio is 39.27 dB by our proposal with cubic spline interpolation.