Zone Plate-Coded Imaging
摘要
With the developments of photoelectric imaging technology and the improvements in computing power, the core architecture of imaging systems could be shifted from the front-end hardware equipment to the back-end computing reconstruction technology, forming the field of computational optical imaging. As a branch of computational optical imaging, zone plate-coded imaging uses zone plates instead of lenses to encode scene images, which can significantly reduce the volume and weight of the imaging system and has broad application prospects in embedded systems, wearable devices, distributed sensors, etc. At present, zone plate-coded imaging has the challenge in terms of imaging quality, and the development of image reconstruction algorithms is expected to break through the bottleneck of zone plate-coded imaging. This chapter introduces the principle of zone plate-coded imaging and focuses on the twin image elimination methods to improve imaging quality. The compressive reconstruction approach is also illustrated, which paves the way for image fusion based on multiple sensors.