利用多曝光对图像进行动态范围增强

当实际场景的明暗动态范围比电子成像器件所能记录的范围更大时，照片就会有曝光过度或者曝光不足的区域，造成高亮或阴暗处细节的损失。本文提出了一种基于多曝光的图像增强方法。该方法通过对同一场景拍摄一组不同曝光度的图像，依据相机响应曲线性质对不同曝光量的图像分块进行信息量的衡量，选取包含信息最丰富的图块进行拼合，再利用一定的融合函数消除图块间的块效应，得到最终的增强图像。实验证明，该方法简单有效，图像增强后高亮与阴暗处的细节都能很好地呈现在一幅图像中，整体效果自然，对噪点控制较好，无明显光晕现象。

Dynamic Range Enhancement Using Multi-Exposed Images

When the dynamic range of a real scene is wider than that of an electronic imaging device, a photo has over-exposed or under-exposed areas with information loss in highlights or shadows. An image enhancement method based on multi-exposed images is proposed. The method utilizes camera response curve for information assessment to find the most informative image blocks from a set of multi-exposed images of the same scene and combines the blocks into a single image with a fusion function to remove discontinuities across the image blocks. Experiments show that the method is simple and effective. The highlights and shadows become clear and natural after enhancement, thus having good control performance of the noise without the halo effect.