Image colorization adds color to grayscale images. It not only increases the visual appeal of grayscale images, but also enriches the information contained in scientific images that lack color information. Most existing methods of colorization require laborious user interaction for scribbles or image segmentation. To eliminate the need for human labor, we develop an automatic image colorization...

In this work we focus on the problem of colorization for image compression. Since color information occupies a large proportion of the total storage size of an image, a method that can predict accurate color from its grayscale version can produce a dramatic reduction in image file size. But colorization for compression poses several challenges. First, while colorization for artistic purposes si...

Colorization is a computer-assisted process of adding color to a monochrome image or movie. Most current colorization algorithms either require a significant user effort or have large computational time. In any case, colorization of real size images remains a time-consuming, tedious task. In this paper we present a new colorization method, based on GrowCut image segmentation algorithm. In our a...

Realistic colorization of videos has been of great interest to the artistic community, primarily for restoring historical color films and colorizing legacy videos. In this project, we experimented with several methods in order to automatically colorize videos on a frame-by-frame basis. We focused on rectifying two primary issues encountered with video colorizations : lack of color consistency b...

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 ...