针对大范围区域内多幅无人机影像色彩不平衡的问题，提出一种基于相机响应函数的匀光匀色算法.首先根据同一静态场景下数码相机拍摄物体的影像，构建两幅影像的包含多个参数的图像亮度误差函数，运用Levenberg-Marquardt算法对参数进行最小化估算，然后将估算得到的参数应用于待处理的影像中，达到多幅影像镶嵌过程中的匀光目的.实验结果表明：与现有的匀光算法比较，所给方法能够高效高质地保证图像镶嵌过程中亮度、反差的均匀和色彩一致.
Aiming at the imbalance of brightness and color in unmanned aerial vehicle (UAV) images captured over a large area, this paper proposes a method of uniforming light and color based on camera response functions. First, referred to two images taking by digital cameras in the same static scene, a multi-parameter image brightness error function is constructed. Then by using the Levenberg-Marquardt algorithm to estimate the optimal parameters and applying the estimated parameters into DOM processing, the uniforming of light and color of DOMs will be achieved. Experiments show that compared with the adaptive template method and the Waillis-filter method, the proposed method can ensure the uniformity of brightness and color in the image mosaic process with high efficiency and quality.
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