Researchers at the University of Granada have developed an algorithm that speeds up the process of capturing high dynamic range (HDR) images by adapting the time of capture of different images in an automatic and instantaneous manner. The algorithm takes advantage of the way a camera responds to light. The research team designed the algorithm to adapt itself to any camera, any scene, and any application, without having to use complex optic systems or non-conventional sensor architectures, according to researcher Miguel AngelMartinez Domingo. The final image highlights with a low degree of noise the details of a very bright component and another dark component in an integrated circuit. The algorithm enables the optimization of the balance between a reduced time of capture and a lower level of noise in the resulting image. The level of noise declines the more exposures are captured to make up the HDR image, but the use of many different exposures would excessively increase the time of capture. Domingo says the research is particularly relevant for robotic-vision systems, and the techniques will enable the systems to behave more like the human vision system.
More info here: University of Granada (Spain) (04/15/15)