Color imaging using a system based on 3 diffractive lenses

The possibility of essentially reducing the weight and production cost of computer vision sys-tems has led to the publication of a large number of research works dealing with the development of new imaging systems based on diffractive optics. This study proposes a new imaging system composed of three diffractive lenses, with each forming a separate channel of the color RGB im-age. This approach allows us to significantly narrow the spectral range of each lens, thus signifi-cantly reducing the image distortion caused by chromatic aberration inherent in diffractive optics. It shows that this scheme allows us to perform the neural network-aided image reconstruction, providing a significantly improved resulting image quality. The study proposes a false edge level criterion (FEL) for evaluating the neural network-aided reconstruction.