论文标题
强度域多曝光图像融合的变异方法
Variational Approach for Intensity Domain Multi-exposure Image Fusion
论文作者
论文摘要
最近的创新表明，通过单个低动态范围（LDR）传感器捕获的细节的混合克服了标准数码相机的局限性，以捕获高动态范围场景的细节。我们提出了一种产生曝光良好的融合图像的方法，该图像可以直接显示在传统的显示器上。野心是为了保存细节较弱且亮度明亮的地区。提出的方法不需要真正的辐射重建和音调操纵步骤。通过考虑到跨输入暴露范围的盛大区域的当地信息度量，可以实现上述目标。此外，引入对比度有限的自适应直方图均衡（CLAHE）以提高融合之前输入多曝光图像的均匀性。
Recent innovations shows that blending of details captured by single Low Dynamic Range (LDR) sensor overcomes the limitations of standard digital cameras to capture details from high dynamic range scene. We present a method to produce well-exposed fused image that can be displayed directly on conventional display devices. The ambition is to preserve details in poorly illuminated and brightly illuminated regions. Proposed approach does not require true radiance reconstruction and tone manipulation steps. The aforesaid objective is achieved by taking into account local information measure that select well-exposed regions across input exposures. In addition, Contrast Limited Adaptive Histogram equalization (CLAHE) is introduced to improve uniformity of input multi-exposure image prior to fusion.
