基于亮度分区模糊融合的高动态范围成像算法

针对单幅图像生成高动态范围（HDR）图像进行直方图扩展时，造成的色彩失真、局部细节信息丢失的问题，提出了一种基于亮度分区融合的高动态范围图像成像算法。首先，提取正常曝光彩色图像的亮度分量，根据亮度阈值将亮度分成两个区间；然后，对两个区间的图像用改进的指数函数扩展其亮度范围，使得低亮度区域的亮度增加、范围扩大，高亮度区域的亮度减小、范围扩大，从而增大图像的整体对比度，保留色彩和细节信息；最后，将扩展后的图像和原始正常曝光的图像基于模糊逻辑的方法融合为高动态图像。分别从主观和客观两方面对所提算法进行了分析。实验结果表明，所提算法能够有效地扩展图像的亮度范围，并保持场景的颜色信息和细节信息，生成的图像视觉效果更佳。

High dynamic range imaging algorithm based on luminance partition fuzzy fusion

To solve the problems of color distortion and local detail information loss caused by the histogram expansion of High Dynamic Range (HDR) image generated by single image, an imaging algorithm of high dynamic range image based on luminance partition fusion was proposed. Firstly, the luminance component of normal exposure color image was extracted, and the luminance was divided into two intervals according to luminance threshold. Then, the luminance ranges of images of two intervals were extended by the improved exponential function, so that the luminance of low-luminance area was increased, the luminance of high-luminance area was decreased, and the ranges of two areas were both expanded, increasing overall contrast of image, and preserving the color and detail information. Finally, the extended image and original normal exposure image were fused into a high dynamic image based on fuzzy logic. The proposed algorithm was analyzed from both subjective and objective aspects. The experimental results show that the proposed algorithm can effectively expand the luminance range of image and keep the color and detail information of scene, and the generated image has better visual effect.