| Abstract: | In this paper, we propose a new super‐resolution technique based on interpolation of the high‐frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The proposed technique uses DWT to decompose an image into different subband images. Then the high‐frequency subband images and the input low‐resolution image have been interpolated, followed by combining all these images to generate a new super‐resolved image by using inverse DWT. The proposed technique has been tested on Lena, Elaine, Pepper, and Baboon. The quantitative peak signal‐to‐noise ratio (PSNR) and visual results show the superiority of the proposed technique over the conventional and state‐of‐art image resolution enhancement techniques. For Lena's image, the PSNR is 7.93 dB higher than the bicubic interpolation. |
