In this paper, we present an example-based colorization method to colorize a gray image. Besides the gray target image, the user only needs to provide a reference color image which is semantically similar to the gray image. We first segment both the target image and reference image and find correspondences at the segmentation level between these two images. The use of segmentation level can not...

In this paper, we present an interactive system for users to easily colorize the natural images of complex scenes. In our system, colorization procedure is explicitly separated into two stages: Color labeling and Color mapping. Pixels that should roughly share similar colors are grouped into coherent regions in the color labeling stage, and the color mapping stage is then introduced to further ...

We present an integrated approach for creating and assigning color palettes to different visualizations such as multi-class scatterplots, line, bar charts. While other methods separate the creation of colors from their assignment, our takes data characteristics into account produce palettes, which are then assigned in a way that fosters better visual discrimination classes. To do so, we use cus...

Colorization, the process of adding color to monochrome images, is a tedious and difficult task and often requires intensive manual effort by color experts. To alleviate this problem, a number of computational studies have been proposed in the literature which aim to perform this task in a relatively easy way, either by employing minimal user input in terms of color scribbles or using a colored...

In this study a new artificial neural network based approach to automatic or semi-automatic colorization of black and white film footages is introduced. Different features of black and white images are tried as the input of a MLP neural network which has been trained to colorize the movie using its first frame as the ground truth. Amongst the features tried, e.g. position, relaxed position, lum...