抄録
Image hallucination is a technique of Super-Resolution. It is to estimate unobservable high frequency parts in order to restore proper signal from band-limited observational data. Image hallucination has been developed as a method to create high resolution images from low resolution ones. The purpose of the paper is to propose the technique of creating high definition images from low resolution images with bilateral filter. The high frequency primitives are inferred from low frequency images by training. To obtain effective training data, we use a non-linear edge-preserving filter called bilateral filter. This algorithm works by decomposing the original image into a high-frequency texture and low-frequency illumination. Finally, some simulation results are illustrated to show the effectiveness of the present method.
