Abstract —in this paper, first, we color the gray level pictures but later we want to perform the coloring of human pictures automatically and intelligently by means of the implemented neural network .Because of the technique applied in this paper, this method can be used in colorizing medical images. Color images achieved have good distinction and separation. For this purpose, a combination of artificial neural networks and some image processing algorithms was developed to transfer colors from a user-selected source image to a target grayscale image. The proposed method can be used to separate the objects in gray images. Our method is based on a simple premise: neighboring pixels in space-time that have similar intensities should have similar colors. We formalize this premise using a quadratic cost function and obtain an optimization problem that can be solved efficiently using standard techniques. In our approach an artist only needs to annotate the image with a few color scribbles, and the indicated colors are automatically propagated in both space and time to produce a fully colorized image or sequence.

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