A fully automatic genetic approach for gray scale image colorization
Other Title(s)
طريقة جينية أوتوماتيكية لتلوين الصورة الرمادية
Dissertant
Thesis advisor
Comitee Members
Hamad, Makkiyah K.
al-Abbudi, Bushra Qasim
University
University of Baghdad
Faculty
College of Science
Department
Department of Computer Science
University Country
Iraq
Degree
Master
Degree Date
2004
English Abstract
Colorization is a computer assisted process of adding color to a monochrome (grayscale) image or movie.
One wishes to add colors to grayscale image for many reasons: colors increase the visual appeal of an image such as an old black and white photo; they make an old movie nicer, and help to make a scientific illustration more attractive .In addition, the information content of some scientific images can be perceptually enhanced with color by exploiting variations in chromaticity as well as luminance.
The early published methods to perform the image colorizing rely on heuristic techniques for choosing RGB colors from a global palette and applying them to regions of the target gray-scaled image.
The main improvement of the proposed technique is the adoption in a fully automatic way the genetic algorithm as an efficient search method to find best match for each pixel in the target image.
The proposed genetic algorithm evolves a population of randomly selected individuals (that represents a possible color setting for target image using a reference colored source image toward solution that could resemble natural or real colors to the objects of the target scene).
Moreover this study proposes new crossover operator, called Spread out Uniform Crossover (SUX) that turns the recombination scheme of uniform crossover over spreading vital genes at the expense of lethal genes rather than exchanging genes between mating parents to the generated offspring.
The results of the proposed colorization techniques are good and plausible as measured mathematically by Mean Square Error and voted by different people.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
74
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : General outlook.
Chapter Two : Image color models.
Chapter Three : The proposed colorization system.
Chapter Four : Experimental results.
Chapter Five : Conclusion and recommendations for future work.
References.
American Psychological Association (APA)
al-Janabi, Sana Khudayr Jaddu. (2004). A fully automatic genetic approach for gray scale image colorization. (Master's theses Theses and Dissertations Master). University of Baghdad, Iraq
https://search.emarefa.net/detail/BIM-605209
Modern Language Association (MLA)
al-Janabi, Sana Khudayr Jaddu. A fully automatic genetic approach for gray scale image colorization. (Master's theses Theses and Dissertations Master). University of Baghdad. (2004).
https://search.emarefa.net/detail/BIM-605209
American Medical Association (AMA)
al-Janabi, Sana Khudayr Jaddu. (2004). A fully automatic genetic approach for gray scale image colorization. (Master's theses Theses and Dissertations Master). University of Baghdad, Iraq
https://search.emarefa.net/detail/BIM-605209
Language
English
Data Type
Arab Theses
Record ID
BIM-605209
