Colorization by Landmark Pixels Extraction

A one-dimensional luminance scalar is replaced by a vector of a colorful multi-dimension for every pixel of a monochrome image, it is called as colorization. Obviously, it is under-constrained. Some prior knowledge is considered to be given to the monochrome image. Colorization using optimization algorithm is an effective algorithm for the above problem. Scribbles are considered as the prior knowledge. However, it cannot effectively do with complex images without repeating experiments for confirming the place of scribbles. Therefore, in our paper, landmark pixels are considered as the prior knowledge. We propose an algorithm which is colorization by landmark pixels extraction. It need not repeat experiments and automatically generates landmark pixels like scribbles. Finally, colorize the monochrome image according to requirements of user.