With growing demands for higher image quality in the fields of film, video post-production, image restoration, art creation, and computer vision, color transfer between images has become an important research area. Based on previous research on color transfer techniques, this paper proposes a color transfer method for images based on saliency features, aiming at automatic color migration between them. Transferring colors based on the saliency features of the input image can avoid the problem of unnatural color of the output image due to mixing of colors from different regions. First, the local variances of both the original and reference images are calculated, serving as a temporary saliency feature map. This is followed by obtaining a refined saliency feature map after undergoing processes such as minimization filtering, binarization, expansion, and iteration. Subsequently, color is transferred between the saliency and non-saliency regions of the original and reference images. To avoid the generation of pseudo-contours, the image is then refined using base projection. Finally, an output image is obtained by fusing the base-projected image with the outcome from Reinhard’s method, ensuring the output retains its naturalness and consistency. We conducted experiments with different types of images such as natural landscapes, buildings, and art paintings. The experimental results show that the method proposed in this paper not only retains the intricacies of the original image but also offers fuller and more realistic color renditions.

随着电影、视频后期制作、图像修复、艺术创作和计算机视觉等领域对更高图像质量的需求不断增长，图像之间的色彩传递已成为重要的研究领域。本文在前人对颜色迁移技术研究的基础上，提出一种基于显着性特征的图像颜色迁移方法，旨在实现图像之间的自动颜色迁移。基于输入图像的显着性特征来传输颜色可以避免由于不同区域的颜色混合而导致输出图像颜色不自然的问题。首先，计算原始图像和参考图像的局部方差，作为临时显着性特征图。经过最小化滤波、二值化、扩展、迭代等过程，得到精细化的显着性特征图。随后，颜色在原始图像和参考图像的显着性区域和非显着性区域之间转移。为了避免生成伪轮廓，然后使用基础投影对图像进行细化。最后，通过将基础投影图像与 Reinhard 方法的结果融合来获得输出图像，确保输出保持其自然性和一致性。我们对自然风景、建筑、艺术画等不同类型的图像进行了实验。实验结果表明，本文提出的方法不仅保留了原始图像的复杂性，而且提供了更饱满、更真实的色彩再现。