Wavelet Transform Based Image Interpolation Using PBP Cubic and Hybrid Filter

Abstract

In this paper, a new wavelet based image interpolation algorithm using pixel-by-pixel (PBP) cubic image interpolation and hybrid filter is proposed for images which include many mid and high frequency elements. There is much important information in frequency bands. Because conventional interpolation techniques have blurring or blocking effects, the quality of interpolated remote sensing images is not good over that of standard test images. The proposed interpolation technique uses PBP, DWT and hybrid filter to address these problems preserving thin lines and edges information. Simulation result shows that the proposed technique outperforms the conventional techniques in terms of PSNR.