Aiming at the problems of narrow working frequency band and low near field imaging efficiency in metasurface holographic imaging technology, this paper proposed the principle and model of optimization of achromatic broadband metasurface hologram imaging. A deep learning network model based on the depth image prior (DIP) is proposed for single-target passive metasurface hologram design, and achromatic broadband metasurface hologram imaging is achieved. Numerical simulation and experimental results have proved that the designed holographic imaging device can achieve good achromatic imaging effect in the 9 GHz~11 GHz frequency band, and has great potential application in the field of holographic imaging and broadband functional device design.