Variational approach to interreflection in color images

被引:0
|
作者
Drew, Mark S. [1 ]
Funt, Brian V. [1 ]
机构
[1] School of Computing Science, Simon Fraser University, Vancouver,BC,V5A 1S6, Canada
来源
Journal of the Optical Society of America A: Optics and Image Science, and Vision | 1992年 / 9卷 / 08期
关键词
Reflection; -; Calculations;
D O I
暂无
中图分类号
学科分类号
摘要
Interreflections affect the colors of surfaces as they appear in images. The light reflected by one surface that then impinges upon a second surface changes the color of the overall illumination that it receives and hence the color of the light that it reflects. Both the relative colors and positions of the two surfaces affect the result. We analyze the physics of the interreflection process and extract constraints on the possible surface reflectances, ambient illumination, and geometric configuration of the surfaces. By using the calculus of variations, a finite-dimensional model of reflectance, and a one-bounce model of interreflection, we express these constraints as a set of equations that are then solved for the surface spectral reflectance functions of the surfaces, the spectrum of the ambient illumination, and local interreflection factors related to the scene geometry. The interreflection factors express how the image is altered by interreflection effects and can be used to produce an image shaded as it would appear had there been no interreflection; the surface reflectance functions provide color constancy. Although it is more complex than some previous analyses of interreflection, the variational approach is more general and relaxes some restrictive assumptions concerning the type of illumination and the number of surfaces. © 1992 Optical Society of America.
引用
收藏
页码:1255 / 1265
相关论文
共 50 条
  • [21] Color texture modeling and color image decomposition in a variational-PDE approach
    Vese, Luminita A.
    Osher, Stanley J.
    SYNASC 2006: EIGHTH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, PROCEEDINGS, 2007, : 103 - +
  • [22] Restoration of color images by vector valued bv functions and variational calculus
    Fornasier, Massimo
    March, Riccardo
    SIAM JOURNAL ON APPLIED MATHEMATICS, 2007, 68 (02) : 437 - 460
  • [23] A New Variational Model for Segmenting Objects of Interest from Color Images
    Zhai, Yanli
    Wu, Boying
    Zhang, Dazhi
    Sun, Jiebao
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2010, 2010
  • [24] A variational approach to recovering depth from defocused images
    Rajagopalan, AN
    Chaudhuri, S
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (10) : 1158 - 1164
  • [25] Ensemble Registration of Multisensor Images by a Variational Bayesian Approach
    Zhu, Hao
    Li, Yongfu
    Yu, Jimin
    Leung, Henry
    Li, Yinghao
    IEEE SENSORS JOURNAL, 2014, 14 (08) : 2698 - 2705
  • [26] Variational Approach for Restoring Blurred Images with Cauchy Noise
    Sciacchitano, Federica
    Dong, Yiqiu
    Zeng, Tieyong
    SIAM JOURNAL ON IMAGING SCIENCES, 2015, 8 (03): : 1894 - 1922
  • [27] A new variational approach for restoring images with multiplicative noise
    Ullah, Asmat
    Chen, Wen
    Khan, Mushtaq Ahmad
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2016, 71 (10) : 2034 - 2050
  • [28] A Variational Approach to Reconstructing Images Corrupted by Poisson Noise
    Triet Le
    Rick Chartrand
    Thomas J. Asaki
    Journal of Mathematical Imaging and Vision, 2007, 27 : 257 - 263
  • [29] A variational approach to reconstructing images corrupted by poisson noise
    Le, Triet
    Chartrand, Rick
    Asaki, Thomas J.
    JOURNAL OF MATHEMATICAL IMAGING AND VISION, 2007, 27 (03) : 257 - 263
  • [30] A heuristic approach to intuitionistic fuzzification of color images
    Vlachos, I. K.
    Sergiadis, G. D.
    APPLIED ARTIFICIAL INTELLIGENCE, 2006, : 767 - +