Image and Video Colorization System

Image and Video Colorization

A learning-based approach for automatic image and video colorization

In this paper, we present a color transfer algorithm to colorize a broad range of gray images without any user intervention. The algorithm uses a machine learning-based approach to automatically colorize grayscale images. The algorithm uses the superpixel representation of the reference color images to learn the relationship between different image features and their corresponding color values....

Image Colorization

This project seeks to reproduce the work of [Levin] on colorization of a black and white image. The approach used takes two black and white images, which are identical except for color markings on one of them. The colored result is based on an optimization problem that has two sets of constraints: First, the color of pixels should be close to their marked color, if applicable. Second, the color...

Natural Image Colorization

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 ...

Grayscale Image Matting and Colorization

This paper presents a novel approach to grayscale image matting and colorization. The first part of this approach is an efficient grayscale image matting algorithm in Bayesian framework. The foreground and background color distributions, and the alpha’s distribution are modelled with spatially varying sets of Gaussians. The major novelties of this matting algorithm are the introduction of alpha...