The effect of using super-resolution to improve feature extraction and registration of low resolution images in sensor networks

In this paper, the effect of using multi-image and single-image super-resolution to reduce registration errors of low resolution images is evaluated. Two sets of low resolution images were captured using CMUCam4 to perform the evaluation. Moreover, a simplified method that make use of feature points extracted from resolution enhanced / upscaled images to improve the registration of low resolution images is also presented. The simulation results show that enhancing / upscaling the images in prior to registration does help to reduce the registration errors.