论文部分内容阅读
随着投影仪的发展,其显示质量越来越受到人们关注。投影显示中普遍存在亮度不均匀性问题,且大部分高灰度图像在亮度校正后易出现饱和。而一般的剪切法会极大地降低像面均匀性。为解决这个问题,基于投影仪相机系统建立系统光度学模型,在传统线性映射方法的基础上提出了一种亮度不均匀性校正的非线性稳定算法。实验表明,采用的投影仪在校正前其图像显示亮度从中心到边缘下降了近50%,像面不均匀性的相对均方根误差(RRMS)为17.7%;而饱和图像校正后像面的RRMS为1.69%,几乎达到了与未饱和图像(1.55%)相同的校正精度,同时基本保持了显示图像的平均亮度水平。
With the development of projectors, the display quality is getting more and more attention. Unevenness of brightness is common in projection displays, and most high-grayscale images are prone to saturation after brightness correction. The general shear method will greatly reduce the image plane uniformity. In order to solve this problem, a system photometric model based on the projector camera system is established. Based on the traditional linear mapping method, a non-linear stabilization algorithm of non-uniform brightness correction is proposed. Experiments show that the brightness of the image before correction is reduced by nearly 50% from the center to the edge of the projector, and the relative root mean square error (RRMS) of the image surface unevenness is 17.7%. The corrected image of the saturated image The RRMS was 1.69%, achieving almost the same correction accuracy as the unsaturated image (1.55%) while maintaining the average brightness level of the displayed image.