Abstract
Abstract
Colorization is adding colors to black and white images. Colorization attracts the interest of
researchers as it serves wide are of applications such as web technology and medical images
processing. The expected large dimensionality of source datasets, imposes the automation is
mandatory. In this paper, a natural inspired solution is developed for automatic color transferring
from colored to grayscale images. The proposed algorithm can be easily implemented in parallel
and distributed environment. We show that our technique can be applied on broad image types,
with preserving image features such as texture and luminance. The resulting images make our
technique applicable in verity domains. The algorithm is simulated and result is presented using
NetLogo tool.
Colorization is adding colors to black and white images. Colorization attracts the interest of
researchers as it serves wide are of applications such as web technology and medical images
processing. The expected large dimensionality of source datasets, imposes the automation is
mandatory. In this paper, a natural inspired solution is developed for automatic color transferring
from colored to grayscale images. The proposed algorithm can be easily implemented in parallel
and distributed environment. We show that our technique can be applied on broad image types,
with preserving image features such as texture and luminance. The resulting images make our
technique applicable in verity domains. The algorithm is simulated and result is presented using
NetLogo tool.
Keywords
agent-based modeling.
automatic color transfer
Keywords: colorization