High dynamic range imaging method for removing ghosts through moving object detection and extension

The invention provides a high dynamic range imaging method for removing ghosts through moving object detection and extension. The important thought of the method of the invention is to extend a moving area under edge constraints to enhance a moving area detection result. A Markov random field-based method is used for detecting the moving area, an image segmentation-based method is used for extending the moving area, the weight of each pixel is adjusted according to a mask image of the moving area after extended, the weight of each pixel is applied to final exposure fusion, and the problem of ghosts appearing in the high dynamic range imaging can be effectively solved. 本发明提供种通过运动物体检测和扩展去除鬼影的高动态范围成像方法，本发明的重要思想是对运动区域在边缘的约束下进行扩展来增强运动区域检测的结果；本发明使用种基于马尔可夫随机场框架的方法来检测运动区域，并使用种基于图像分割的方法对运动区域进行扩展；根据扩展后的运动区域的掩膜图像调整各像素的权重，并将各像素权重应用到最终的曝光融合中，可以有效地解决在高动态范围成像中出现的鬼影问题。