Microlens Error Analysis And Evaluation Of Light Field Camera

High-temperature combustion exists in all areas. As a main assessment index of flame, flame temperature can descript the combustion process. However, traditional contact measurement method has been unable to meet current measurement requirements, using light field camera with a microlens array to obtain a three-dimensional light field information. As a high-precision measuring instrument, light field camera precision determines the accuracy of the measurement results. And there are areas in the photoreceptor that correspond to each microlens in the light field camera. Position changes in the microlens will lead to a change in the area corresponding to that microlens and thus affect the photograph. Because of uncertainties, there will be some errors in the process of manufacture and installation of light field camera. Therefore, research on the error of light field camera is of great significance.In this paper, a physical model of light-field camera based on Monte Carlo method(MCM) with a microlens array by home-built program was built, which was used to simulate images of error that could appear during microlens installation and manufacture. Under the condition where the installation of both the photoreceptor and the main lens is correct, there are coupling distance errors, translation errors, rotation errors and tilt errors. By researching these images, sub-aperture images and refocus images, the images present different degrees of fuzziness and deformation for different microlens assembly errors was found, while the subaperture image presents aliasing, obscured images and other distortions that result in unclear refocus images. In the process of Turning, there are the spindle speed errors and centering errors. The shape precision of microlens will decrease, the images present different degrees of defocus and the brightness of sub-aperture images is obviously different.To obtain the correct image, it is necessary to analyze and eliminate installation errors. Therefore, combined the image quality evaluation index to built installation error correction model, which could determine the microlens array installation error and correct it by error images and standard images. By this study, the error correction methods of different installation error and error range was obtained. It makes sense to the light field camera imaging accurately, four-dimensional radiation field information reconstruction and the manufacture and installation of the microlens array in light field camera.