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A neural network used for the colour conversion from RGB to CMY

100%

Horzyk A.

Zeszyty Naukowe Uniwersytetu Jagiellońskiego. Prace Informatyczne

1999

tom z. 9

59-73

The use of the neural network in the solution of the RGB-to-CMY colour conversion problem is discussed in the paper. Ca\lassically, a colour conversion problem is solved in an approximate way. The architecture of neural networks, which gives the ability to get satisfactory results is presented. The method of learning the network based on the back propagation method with a controlled process of the change of learning parameters to shorten its time is constructed.

A hybrid neural network used for the colour conversion from RGB to CMY and a new method for choosing a learning set

84%

Horzyk A.

Image Processing & Communications

1998

tom Vol. 4, no 1-2

37-46

This paper presents the application of the neural network to the colour conversion problem from RGB to CMY [1]. Three different architecture of neural network are compared and the one which gives the best results is chosen, and the method of learning this network based on the back propagation method with a controlled process of change of learning parametres, particulary the number of patterns in a learning set, in order to shorten the time of learning, is presented.