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Histogram-Based Color Transfer for Image Stitching ?¢????

机译:基于直方图的颜色转移以进行图像拼接

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Color inconsistency often exists between the images to be stitched and will reduce the visual quality of the stitching results. Color transfer plays an important role in image stitching. This kind of technique can produce corrected images which are color consistent. This paper presents a color transfer approach via histogram specification and global mapping. The proposed algorithm can make images share the same color style and obtain color consistency. There are four main steps in this algorithm. Firstly, overlapping regions between a reference image and a test image are obtained. Secondly, an exact histogram specification is conducted for the overlapping region in the test image using the histogram of the overlapping region in the reference image. Thirdly, a global mapping function is obtained by minimizing color differences with an iterative method. Lastly, the global mapping function is applied to the whole test image for producing a color-corrected image. Both the synthetic dataset and real dataset are tested. The experiments demonstrate that the proposed algorithm outperforms the compared methods both quantitatively and qualitatively.
机译:在要缝制的图像之间经常存在颜色不一致,这会降低缝制结果的视觉质量。色彩转移在图像拼接中起重要作用。这种技术可以产生色彩一致的校正图像。本文提出了一种通过直方图规范和全局映射的颜色转移方法。提出的算法可以使图像共享相同的颜色样式并获得颜色一致性。该算法有四个主要步骤。首先,获得参考图像和测试图像之间的重叠区域。其次,使用参考图像中重叠区域的直方图对测试图像中重叠区域进行精确的直方图指定。第三,通过使用迭代方法使色差最小化来获得全局映射函数。最后,将全局映射功能应用于整个测试图像以产生色彩校正的图像。综合数据集和真实数据集都经过测试。实验表明,所提算法在定量和定性上均优于比较方法。

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