This paper presents a method for performing angular spectrum differentiation of images using dielectric metasurfaces across the entire visible spectrum. The approach involves designing metasurfaces that can manipulate the angular spectrum of an image, enabling operations such as differentiation, integration, and convolution. The metasurfaces are fabricated using silicon nanopillars with tailored cross-sections to achieve the desired optical properties. The study demonstrates that these metasurfaces can enhance specific features of the angular spectrum, offering a novel approach to optical analog processing. The results show that the metasurfaces can perform differentiation operations with high efficiency and broad bandwidth, enabling applications in optical data processing and biological imaging. The experimental results confirm the effectiveness of the metasurfaces in achieving the desired angular spectrum differentiation, with consistent performance across different wavelengths. The study also highlights the potential of metasurfaces for developing more general angular spectrum analog processors, opening new opportunities for optical analog computation and imaging.This paper presents a method for performing angular spectrum differentiation of images using dielectric metasurfaces across the entire visible spectrum. The approach involves designing metasurfaces that can manipulate the angular spectrum of an image, enabling operations such as differentiation, integration, and convolution. The metasurfaces are fabricated using silicon nanopillars with tailored cross-sections to achieve the desired optical properties. The study demonstrates that these metasurfaces can enhance specific features of the angular spectrum, offering a novel approach to optical analog processing. The results show that the metasurfaces can perform differentiation operations with high efficiency and broad bandwidth, enabling applications in optical data processing and biological imaging. The experimental results confirm the effectiveness of the metasurfaces in achieving the desired angular spectrum differentiation, with consistent performance across different wavelengths. The study also highlights the potential of metasurfaces for developing more general angular spectrum analog processors, opening new opportunities for optical analog computation and imaging.