High Frequency Compensated Super-Resolution Algorithm

Abstract

Currently, there exist many high resolution image reconstruction methods. The approach of these methods is mainly to remove the blur effect of image by interpolation enlargement and appropriately to increase the space information to restore its high resolution images. In this study, two methods, the Direct High Frequency Compensated (DHFC) and the Estimated High Frequency Compensated (EHFC), are developed based on the Iterative Back Projection (IBP) principle as well as the High Frequency Compensated Model. These methods substantially improve the image quality of reconstructed images enlarged by zero, bilinear, and bi-cubic interpolations. In addition, they accelerate the process significantly compared to IBP algorithm. In natural imaging test situation, DHFC method can increase the speed by 1~5.7 times and improve the ultimate PSNR value by 0.1~0.3dB while EHFC method can increase the speed by 1~6.5 times and improve the ultimate PSNR value by 0.4~0.7dB. Moreover, in text imaging test cases, EHFC method can increase the speed by 1~6.5 times and improve the ultimate PSNR value by 1.2~8.3dB.