@inproceedings{Small:1991:SWM,
  optcitations = {Haeberli:1990:PBN, Hanrahan:1990:WPT,Strassmann:1986:HB},
  author = {David Small},
  series = {SPIE Proceedings Series},
  editor = {Walter R. Bender and Wil Plouffe},
  localfile = {papers/Small.1991.SWM.pdf},
  address = {Bellingham, Washington},
  optkeywords = {paint brush},
  publisher = {SPIE},
  optmonth = feb,
  doi = {http://dx.doi.org/10.1117/12.44417},
  citeseer = {http://citeseer.nj.nec.com/234779.html},
  volume = {1460},
  booktitle = {{I}mage {H}andling and {R}eproduction {S}ystems {I}ntegration},
  optstatus = {},
  title = {{S}imulating {W}atercolor by {M}odeling {D}iffusion, {P}igment, and
           {P}aper {F}ibers},
  abstract = {This paper explores a parallel approach to the problem of
              predicting the actions of pigment and water when applied to paper
              fibers. This work was done on the Connection Machine II, whose
              parallel architecture allows one to cast the problem as that of a
              complex cellular automata. One defines simple rules for the
              behavior of each cell based on the state of that cell and its
              immediate neighbors. By repeating the computation for each cell in
              the paper over many time steps, elaborate and realistic behaviors
              can be achieved. The simulation takes into account diffusion,
              surface tension, gravity, humidity, paper absorbency and the
              molecular weight of each pigment. At each time step a processor
              associated with each fiber in the paper computes water and pigment
              gradients, surface tension and gravitational forces, and decides
              if there should be any movement of material. Pigment and water can
              be applied and removed (blotting) with masks created from type or
              scanned images. Use of a parallel processor simplifies the
              creation and testing of software, and variables can be stored and
              manipulated at high precision. The resulting simulation runs at
              approximately one-tenth real time.},
  optnumber = {15},
  year = {1991},
  pages = {140--146},
}