Research On Color Correction Method Of Projection Display

As a member of the mainstream display technology,projection display technology has a prominent position in large-screen high-quality displays.It is everywhere in our work,study and life,and is widely used in cinemas,classrooms,conference rooms,and lecture tables.And other related large-screen display areas.At the same time,projection display has infinite and broad potential under the development of virtual display and immersive projection display in the future.However,the demand for projection display screens affects its application space,especially in today’s increasingly developed mobile technology.Therefore,research on projection display to get rid of the white screen standard configuration can make it have a broader development space.To this end,this article mainly studies the correction of color distortion under the color texture surface of the projection display,discusses the projector-camera coordinate calibration scheme,studies the color characterization of the texture projection surface,and completes the projection color correction of the texture surface.The problem is to study compensation schemes in different environments.The main research contents are as follows:First,discuss and study the calibration and optimization of the overall system for the projector-camera system.The extraction of camera calibration points has improved the checkerboard,and the corresponding improved Susan corner checkerboard corner detection algorithm,sub-pixel extraction algorithm and corner sorting algorithm have been designed to improve the accuracy of corner extraction and improve its robustness.Sex.The Zhang Zhengyou camera calibration method is used to complete the preliminary calibration of the camera-projector and the artificial bee colony algorithm is used to complete the optimization of the calibration parameters.The experimental verification has effectively improved the calibration accuracy of the joint system and reduced the conversion error between the camera-projection coordinates.Secondly,to characterize the color of the projection surface,the general method of color characterization of digital equipment is studied,and the characterization method of thin-plate spline interpolation considering the distortion of color space and the multioutput multi-output support vector regression characterization method considering the channel coupling are proposed.The color characterization experiments were carried out on the white screen and single-color projection surface under the influence of ambient interference light with or without the above method.Finally,aiming at the problem of comprehensive compensation and correction of the projection color of the color texture surface,the source of the color deviation and distortion of the projection display is analyzed.Aiming at the problem of inconsistency in the spectral reflectance of the projection surface,a clustering algorithm based on the estimated reflectance similarity domain and the projection surface color characterization is proposed to establish a color basis compensation,and the Kmean and Optics clustering methods are compared and analyzed in the estimation of the reflectance similarity domain and basis.Compensated color error and actual projection display effect.For basic compensation,the problem of super color gamut clipping and lack of brightness is proposed.Global and local brightness compensation algorithms are proposed to effectively remove residual images and increase display brightness to provide a more comfortable visual experience.For the problem of too slow single-thread serial execution of the algorithm,the study of program acceleration and parallelization methods has effectively improved the algorithm speed significantly.