Physics-Based Extraction of Intrinsic Images from a Single Image

  • Authors:

  • Yun-Chung Chung;Jung-Ming Wang;Robert R. Bailey;Sei-Wang Chen;Shyang-Lih Chang;Shen Cherng

  • Affiliations:

  • National Taiwan Normal University;National Taiwan Normal University;National Taiwan Normal University;National Taiwan Normal University;St. John's & St. Mary's Institute of Technology;Cheng Shin University, Taiwan

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
  • Year:
  • 2004

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Abstract

A technique for extracting intrinsic images, including the reflectance and illumination images, from a single color image is presented. The technique first convolves the input image with a prescribed set of derivative filters. The pixels of filtered images are then classified into reflectance-related or illumination-related based on a set of chromatic characteristics of pixels calculated from the input image. Chromatic characteristics of pixels are defined by a photometric reflectance model based on the Kubelka-Munk color theory. From the classification results of the filtered images, the intrinsic images of the input image can be computed. Real images have been utilized in our experiments. The results have indicated that the proposed technique can effectively extract the intrinsic images from a single image.