Foveated imaging is a technique in which image resolution is varied across different parts of an image, similar to the way the human eye sees with high resolution at the center (fovea) and lower resolution near the periphery. This technique is used in various applications such as virtual reality, microscopy, and surveillance to efficiently allocate computational resources and improve image quality in areas where it is most needed. Foveated imaging can help reduce data processing requirements and improve the overall quality and efficiency of imaging systems.