“Transferring color to greyscale images”

  • ©Tomihisa Welsh, Michael Ashikhmin, and Klaus Mueller

Conference:


Type:


Title:

    Transferring color to greyscale images

Presenter(s)/Author(s):



Abstract:


    We introduce a general technique for “colorizing” greyscale images by transferring color between a source, color image and a destination, greyscale image. Although the general problem of adding chromatic values to a greyscale image has no exact, objective solution, the current approach attempts to provide a method to help minimize the amount of human labor required for this task. Rather than choosing RGB colors from a palette to color individual components, we transfer the entire color “mood” of the source to the target image by matching luminance and texture information between the images. We choose to transfer only chromatic information and retain the original luminance values of the target image. Further, the procedure is enhanced by allowing the user to match areas of the two images with rectangular swatches. We show that this simple technique can be successfully applied to a variety of images and video, provided that texture and luminance are sufficiently distinct. The images generated demonstrate the potential and utility of our technique in a diverse set of application domains.

References:


    1. EFROS, A. A. AND FREEMAN, W. T., 2001. Image Quilting for Texture Synthesis and Transfer, In Proceedings of ACM SIGGRAPH 2001, 341-346. Google Scholar
    2. EFROS, A. A. AND LEUNG, T. K., 1999. Texture Synthesis by Non-parametric sampling. 7th IEEE International Conference on Computer Vision, 1999, 1033-1038. Google Scholar
    3. GONZALEZ, R. C. AND WINTZ, P., 1987. Digital Image Processing, Addison-Wesley Publishing, Reading MA. Google Scholar
    4. HERTZMANN, A., JACOBS, C., OLIVER, N., CURLESS, B., SALESIN., D., 2001. Image Analogies, In Proceedings of ACM SIGGRAPH 2002, 341-346.Google Scholar
    5. SILBERG, J., 1998. Cinesite Press Article, http://www.cinesite.com/core/press/articles/1998/10_00_98-team.htmlGoogle Scholar
    6. IOANNIS, P., 1991. Digital Image Processing Algorithms, Prentis Hall, 58.Google Scholar
    7. PRATT, W. K. 1991. Digital Image Processing, John Wiley & Sons, 311. Google Scholar
    8. REINHARD, E. ASHIKHMIN, M., GOOCH B. AND SHIRLEY, P., 2001. Color Transfer between Images, IEEE Computer Graphics and Applications, September/October 2001, 34-40. Google Scholar
    9. ROGOWITZ, B. E. AND KALVIN, A. D., 2001. The “Which Blair Project”: A Quick Visual Method for Evaluating Perceptual Color Maps, Proceedings of IEEE Visualization 2001. Google Scholar
    10. RUDERMAN, D. L., CRONIN, T. W. AND CHIAO, C. C., 1998. Statistics of Cone Responses to Natural Images: Implications for Visual Coding, J. Optical Soc. of America, vol 15, no. 8, 2036-2045.Google Scholar


ACM Digital Library Publication:



Overview Page: