Colorization is a colour manipulation mechanism employing user-assisted colour hints for changing greyscale images into coloured ones. Several colorization algorithms have been constructed, and many of these methods are able to produce appropriately colorized images given a surprisingly sparse set of hints supplied by the user. But these colour images may not in fact look realistic. Moreover, t...

This work presents a simple process for gray image colorization, using a colored image which is similar to this gray scale image but not the colorized version of the gray image. This colored image is retrieved from the data base of colored images that has been created for this purpose. Here, the texture properties of the colored images are extracted and stored. For the purpose of colorization t...

We propose an efficient algorithm for colorization of greyscale images. As in prior work, colorization is posed as an optimization problem: a user specifies the color for a few scribbles drawn on the greyscale image and the color image is obtained by propagating color information from the scribbles to surrounding regions, while maximizing the local smoothness of colors. In this formulation, col...

In this paper, we explore the technique of colorization for video compression. The chrominance of the intermediate frames is discarded during encoding. At the time of decoding, chrominance values, which are dropped, are approximated from colorizing grayscale frames by transferring color from a source color frame to a targeted grayscale frame. So far human intervention is an integral part of col...

This paper proposes a colorization algorithm based on the mixed L0/L1 norm minimization. Authors have already proposed a colorization algorithm, however, it requires appropriate parameters, and its performance highly depends on these parameters. This paper introduces some heuristic and modifies the algorithm in order to reduce the dependence of parameters. Numerical examples show that the propo...

In this paper we propose how to exploit image textural features to improve scribble-based image colorization. The existing techniques work by propagating color from the user-added scribbles over the whole image. The color propagation paths are determined so as to minimize the luminance changes integrated along the path. In our method, at first linear discriminant analysis is performed over the ...

An efficient colorization scheme for images based on prioritized source propagation is proposed in this work. A user first scribbles colors on a set of source pixels in an image. The proposed algorithm then propagates those colors to the other non-source pixels and the subsequent frames. Specifically, the proposed algorithm identifies the non-source pixel with the highest priority, which can be...

Colorization is a computerized process of adding color to a black and white print, movie and TV program. The authors have proposed automatic colorization algorithms by giving a partial color to a monochrome image. This paper focuses on the colorization process which can produce a color image from a monochrome image with a small number of color pixels, and proposes a novel color image coding alg...

Colorization is a computerized process of adding color to a monochrome image. The authors have developed colorization algorithms which propagate colors from seeded color pixels. Since those algorithms are constructed based on a region growing approach, failure colorization occurs at the place where a luminance changes intensely such as edge and texture. Although we developed, in the previous wo...

This paper proposes a fast but effective user-guided colorization algorithm. The main difficulty with colorization is its intensive computational cost. And the color sometimes diffuses from one region to others. We make full use of the information given by the gray-scale images, including the edge, gradient and gradient direction, to propagate color over regions from the user’s scribbles. We in...