Computational approach with optical knowledge to construct images or control light field
Efficient Single Pixel Imaging
Improving single pixel imaging performance in high noise condition by under-sampling
Single pixel imaging need multiple measurements to reconstruct an image. More measurements should provide more information and enhance the image quality in low noise conditions
However, the trade-off between adding image information and adding noise in each coefficient measurement results in an optimum number of measurements for reconstruction image quality.
We also put forward a quality control method to increase efficiency of measurements, thus, reducing the measurement time without compromising the computational time.