High dynamic range (HDR) image compositing addresses dynamic range limitations by combining valid information from multiple differently-exposed low dynamic range (LDR) images. Traditional HDR methods (which we will call intensity-based) compute a weighted combination of pixel irradiance after correcting for differences in exposure. These methods require knowledge of the mapping from scene irradiance to image brightness called the camera response function f, as well as the exposure settings (combined information about shutter speed and film sensitivity), k. However, often times neither f nor k are available beforehand; most digital cameras do not have the option to shoot in raw (linear) mode, and do not offer a guarantee that the same processing will be performed on consecutive images.
高动态范围(HDR)图像合成通过结合来自多个暴露于不同的低动态范围(LDR)图像的有效信息来解决动态范围限制。传统的HDR方法(我们称基于强度)在纠正暴露差异后计算像素辐照度的加权组合。这些方法需要了解从场景辐照度到图像亮度的映射,称为相机响应函数F,以及曝光设置(有关快门速度和膜灵敏度的组合信息),k。但是,通常没有事先使用F和K。大多数数码摄像机都没有以RAW(线性)模式拍摄的选项,也不能保证将在连续的图像上执行相同的处理。