Colorization Based on Image Manifold Learning

This paper concerns the issue of adding color to a grayscale image automatically. A novel colorization approach is proposed based on locally linear embedding (LLE), a manifold learning method. The colorization procedure utilizes the similarities of the image manifold structures between the grayscale space and color space. Colorized results can be obtained by transferring the parameters learnt from the grayscale space to the color space. Experimental results are reported to validate the proposed method