Colorization is an automatic technique to enhance greyscale images by introducing chromatic information. In this research we investigate to produce colorized medical images, potentially supporting in better understanding of anatomy, anomalies and infections. Begins with proposed mandatory preprocessing steps for medical images noise removal and edge improvement, followed by colorization process...

This paper proposes a new algorithm for coloring a monochrome image. Recently, a few effective colorization algorithms have been proposed. Those algorithms can colorize monochrome images by given some color hint, and they work well as an intuitive impression. However, a realistic colorization was difficult by those algorithms, because they have not used any physical model. This paper focuses on...

This paper presents a novel approach to scribblebased image colorization. In the work reported here we have explored how to exploit the textural information to improve this process. For every scribbled image we extract the most discriminative features using linear discriminant analysis (LDA). After that, the whole image is projected onto a discriminative textural feature space. Our main contrib...

The identification of brain infarct in computed tomography (CT) images is difficult due the nature appearance of the infarct tissues similar to the normal tissues in the brain CT images. In this paper, a histogram-based colorization method is presented in order to enhance the visualization and interpretation of brain CT images. The presented is aimed to improve the diagnosis of brain CT images,...

We propose a novel approach to automatically produce multiple colorized versions of a grayscale image. Our method results from the observation that the task of automated colorization is relatively easy given a low-resolution version of the color image. We first train a conditional PixelCNN to generate a low resolution color for a given grayscale image. Then, given the generated low-resolution c...

Given a monochrome image and some manually labeled pixels, the colorization problem is a computer-assisted process of adding color to the monochrome image. This paper proposes a novel approach to the colorization problem by formulating it as a matrix completion problem. In particular, taking a monochrome image and parts of the color pixels (labels) as inputs, we develop a robust colorization mo...

This paper proposes a novel algorithm for colorization of meshes. This is important for applications in which the model needs to be colored by just a handful of colors or when no relevant image exists for texturing the model. For instance, archaeologists argue that the great Roman or Greek statues were full of color in the days of their creation, and traces of the original colors can be found. ...