研究目的
To propose an architecture based on camera array with masks to enhance the sensor resolution of remote imaging system.
研究成果
The proposed architecture enhances the sensor resolution for remote imaging by using a camera array with masks. The resolution of the finally reconstructed image is enhanced by N times along one dimension in the ideal condition, where N is the number of cameras in the array. In general conditions, the resolution is enhanced by N-1 times. This architecture can improve image quality when sensor resolution is the bottleneck of remote image quality and can be used in terahertz imaging.
研究不足
The resolution improvement varies with the object distance. The architecture's effectiveness is bound to the difference between the actual object plane and the virtual mask position.
1：Experimental Design and Method Selection:
The architecture is based on a camera array with masks to enhance sensor resolution by multiplexing sensor images of each camera. The angular resolution bandwidth is converted using masks to expand the spatial resolution bandwidth.
2：Sample Selection and Data Sources:
A simulation model is built to verify the resolution-enhancing ability of the camera array architecture. Images are captured from each camera in the array.
3：List of Experimental Equipment and Materials:
Cameras arranged in an array form, each composed of a main lens, a field lens, a relay lens, and a mask.
4：Experimental Procedures and Operational Workflow:
The main lens projects the object image onto the field lens. The mask modulates the light field, and the relay lens re-images the modulated image onto the sensor. The reconstructed image is synthesized from all the images of the cameras.
5：Data Analysis Methods:
The resolution enhancement is analyzed both in Fourier domain and spatial domain. The reconstructed image's resolution is compared with the images of each camera.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
