earticle

영어

In this paper, a new wavelet based image interpolation algorithm is proposed for remote sensing images. Remote sensing images include many mid and high frequency elements such as aerial and satellite photograph images. These frequency elements contain important information. Because conventional interpolation techniques have blurring or blocking effects, the quality of interpolated remote sensing images is not good over that of standard images like lenna. The proposed interpolation technique uses bicubic interpolation and DWT to address these problems. Experimental result shows that the proposed technique outperforms the conventional techniques in terms of PSNR.