宽动态范围图像快速增强算法

Fast image enhancement algorithm for wide dynamic range image

提出了一种针对宽动态范围图像的快速增强算法。该算法基于反转后宽动态范围图像与雾天图像有相似特性的结论,对宽动态范围图像进行反转处理,将优化后基于暗原色先验理论的去雾算法用于反转后的图像。通过改进透射率估计方法和简化大气光估计,显著地降低了算法的复杂度。实验结果表明,该算法有效地改善了宽动态范围图像的视觉效果,并且算法的处理速度很快,能够满足实时应用的要求。

This paper presents a fast image enhancement algorithm for wide dynamic range images. According to the conclusion that an inverted wide dynamic range image is similar to a haze image, the algorithm works by inverting the input image first and then applying an optimized image haze-removal algorithm based on physical model on the inverted image. By improving the transmission estimating method and simplifying the atmosphere light estimating, the algorithm complexity is reduced significantly. Experiments show that the presented method enhances the visual effect of the wide dynamic range image effectively and last, making it suitable for real-time applications.