Fast image and video colorization using chrominance blending

Luminance-Chrominance Model for Image Colorization

This paper provides a new method to colorize gray-scale images. While the reverse operation is only a matter of standard, the colorization process is an ill-posed problem that requires some priors. In the literature two classes of approach exist. The first class includes manual methods that needs the user to manually add colors on the image to colorize. The second class includes exemplar-based ...

Image and Video Colorization

Fast Image Blending using Watersheds and Graph Cuts

This paper presents a novel approach for combining a set of registered images into a composite mosaic with no visible seams and minimal texture distortion. To promote execution speed in building large area mosaics, the mosaic space is divided into disjoint regions of image intersection based on a geometric criterion. Pair-wise image blending is performed independently in each region by means of...

Fast Colorization Using Edge and Gradient Constrains

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...

Image Colorization using Residual Networks

Given a grayscale image of a natural scene, this paper presents an approach to the estimation of a recolorization of that image. While the approach presented here is fully automatic, it has an easy insertion point for human interaction to finetune results and train improved colorizers. The system as presented is a feed-forward operation in a CNN augmented with residual connections, explicitly e...