An inverse halftoning algorithm based on super-resolution image reconstruction

Inverse halftoning is to reconstruct continuous-tone images from binary ones composed of white and black pixels. This paper presents a simple and useful inverse halftoning method, which is a two-step algorithm. The first step is to generate several grayscale images from the original halftone image and lowpass filters. The next step is to reconstruct a continuous-tone image from the multiple grayscale images by using the super-resolution image reconstruction. The effectiveness of the proposed method is demonstrated by several experiments.