Abstract

Multiplexed illumination has been proved to be valuable and beneficial, in terms of noise reduction, in wide applications of computer vision and graphics, provided that the limitations of photon noise and saturation are properly tackled. Existing optimal multiplexing codes, in the sense of maximum signal-to-noise ratio (SNR), are primarily designed for time multiplexing, but they only apply to a multiplexing system re- quiring the number of measurements (M ) equal to the number of illu- mination sources (N ). In this paper, we formulate a general code design problem, where M N , for time and color multiplexing, and develop a sequential semi-definite programming to deal with the formulated opti- mization problem. The proposed formulation and method can be readily specialized to time multiplexing, thereby making such optimized codes have a much broader application. Computer simulations will discover the main merit of the method— a significant boost of SNR as M increases. Experiments will also be presented to demonstrate the effectiveness and superiority of the method in ob ject illumination.