首页>
外国专利>
Ghost artifact detection and removal in HDR image processsing using multi-scale normalized cross-correlation
Ghost artifact detection and removal in HDR image processsing using multi-scale normalized cross-correlation
展开▼
机译:使用多尺度归一化互相关的HDR图像处理中的鬼影伪影检测和消除
展开▼
页面导航
摘要
著录项
相似文献
摘要
A method for detecting ghost artifact in multiple images during high dynamic range (HDR image creation. For each pair of images, multiple individual consistency maps are generated by calculating a consistency function using moving windows of different sizes. The individual consistency maps are combined into a combined consistency map and then binarized. When combining the multiple individual consistency maps, they are first binarized using predetermined threshold values that are window-size-specific. The threshold values are developed beforehand using training images and machine leaning. The final binarized consistency map indicates whether the pair of images are consistent with each other at each pixel location. Then, a ghost-weight map is generated for each image based on the multiple final consistency maps. The ghost-weight map indicates the likelihood of each image pixel being ghost-inducing. The HDR image is generated using the set of images and the corresponding ghost-weight maps.
展开▼