An efficient colorization scheme for images based on prioritized source propagation is proposed in this work. A user first scribbles colors on a set of source pixels in an image. The proposed algorithm then propagates those colors to the other non-source pixels and the subsequent frames. Specifically, the proposed algorithm identifies the non-source pixel with the highest priority, which can be...

Colorization is a computerized process of adding color to a black and white print, movie and TV program. The authors have proposed automatic colorization algorithms by giving a partial color to a monochrome image. This paper focuses on the colorization process which can produce a color image from a monochrome image with a small number of color pixels, and proposes a novel color image coding alg...

Colorization is a computerized process of adding color to a monochrome image. The authors have developed colorization algorithms which propagate colors from seeded color pixels. Since those algorithms are constructed based on a region growing approach, failure colorization occurs at the place where a luminance changes intensely such as edge and texture. Although we developed, in the previous wo...

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...

Exemplar-based colorization approaches rely on reference image to provide plausible colors for target gray-scale image. The key and difficulty of exemplar-based is establish an accurate correspondence between these two images. Previous have attempted construct such a but are faced with obstacles. First, using luminance channel the calculation inaccurate. Second, dense they built introduces wron...

A novel semiautomatic colorization method is proposed based on quaternionic phase reconstruction. In this method, each color pixel is represented as a quaternion, whose polar magnitude and polar phase are recovered from the intensity of original grayscale image and color scribbles of user’s manual input, respectively. To conduct structure-preserving colorization, color diffusion is restrained a...

For the culmination of the course CMPS 242, Machine Learning, the authors 1 present a method for image colorization using convolutional neural networks. 2 Colorization, taking a black and white image and turning into a color (RGB) image, 3 is inherently an underdetermined problem. Because of this we aim to generate 4 plausible colorizations using the technology of convolutional neural networks. 5

In this study, removal of methylene blue by electro-coagulation method using aluminum and iron electrodes was investigated. The influence of the operating parameters such as contact time, current density, anode type, inter-electrodes distance, initial and final pH and energy consumption rate was determined. Dye removal was increased with increases in solution pH, current density and c...