Image Interpolation Using Wavelet-fractal Coding
WU Xian-liang · 2007
The traditional image interpolation involving zeroth-order,bilinear,and cubic spline interpolation mostly depends on a piece-wise continuous and smooth modeling of image.In view of the ability to capture the feature of natural image connected with the modeling,the quality of interpolated image is not desirable.A new interpolation algorithm based on the wavelet-fractal(FW)coding is proposed with more efficient interpolation strategy.By the aid of the local self-similarity modeling of image,the new interpolation algorithm using FW coding is implemented by the dilation of tree wavelet.The super-resolution zeroth subband is optimized predicted by the first subband in the wavelet domain.And then the interpolated image can be obtained by the inverse wavelet transform.The experiments of the standard images suggest that the new algorithm can obtain distinct texture and edge of the images and higher peak signal-to-noise ratio(PSNR)compared with the traditional bilinear strategy.As a result,the image interpolated by the new algorithm is accurate and real.