Investigation of super-resolution processing algorithm by target light-intensity search in digital holography

Digital holography is expected to be useful in the analysis of moving three-dimensional (3D) image measurement. In this technique, a two-dimensional interference fringe recorded using a 3D image is captured with an image sensor, and the 3D image is reproduced on a computer. To obtain the reproduced 3D images with high spatial resolution, a high-performance image sensor is required, which increases the system cost. We propose an algorithm for super-resolution processing in digital holography that does not require a high-performance image sensor. The proposed algorithm wherein 3D images are considered as the aggregation of object points improves spatial resolution by performing a light-intensity search of the reproduced image and the object points.