We propose a novel video colorization method based on sparse optical flow and edge-oriented color propagation. Colorization is a process of adding color to monochrome images or videos. In our video colorization method, it is assumed that key frames are appropriately selected out of a grayscale video stream and are properly colorized in advance. Once key frames are colorized, our method colorize...

Over the last decade, the process of automatic colorization had been studied thoroughly due to its vast application such as colorization of grayscale images and restoration of aged and/or degraded images. This problem is highly ill-posed due to the extremely large degrees of freedom during the assignment of color information. Many of the recent developments in automatic colorization involved im...

The detailed performance comparison of four orthogonal transforms for grayscale image colorization using Thepade’s Transform Error Vector Rotation(TTEVR) algorithm is done here with five different color pallet sizes. The Thepade’s transform error vector rotation algorithms use binary numbers represented by four error vector sequences (Haar, Cosine, Slant & Hartley). The proposed technique uses ...

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...

This study represents an innovative automatic method for black and white films colorization using texture features and a multilayer perceptron artificial neural network. In the proposed method, efforts are made to remove human interference in the process of colorization and replace it with an artificial neural network (ANN) which is trained using the features of the reference frame. Later, this...

A novel example-based process for automated colorization of grayscale images using texture descriptors (ACTD) without any human intervention is proposed. By analyzing a set of sample color images, coherent regions of homogeneous textures are extracted. A multi-channel filtering technique is used for texture-based image segmentation. For each area of interest, state of the art texture descriptor...

x 1. INTRODUCTION 1 1.1 Medical Imaging 1 1.2 Medical Image Segmentation 4 1.3 Digital Image Processing 7 1.4 Motivation 9 1.5 Thesis Organization 10 2. LITERATURE REVIEW 12 2.1 Segmentation 12 2.1.1 Classical Approaches 13 2.1.2 Advanced Approaches 14 2.1.2.1 Statistical and Probabilistic Approaches 14 2.1.2.2 Deformable Models 15 2.1.2.3 Artificial Neural Networks (ANNs) 16 2.1.2...

An adaptive image colorization algorithm based on total variation and partial differential equations (PDE) is proposed to overcome problems of color blurring near edges in some colorization algorithms. A partial differential equation is established through minimization of a functional. An adaptive method is then used to select the model parameters. By choosing suitable diffusion coefficients re...

Colorization and illumination are key processes for creating animated cartoons. Computer assisted methods have been incorporated in animation/illustration systems to reduce the artists' workload. This paper presents a new method for illumination and colorization of 2D drawings based on a region- tree representation. Starting from a hand-drawn cartoon, the proposed method extracts geometric and ...