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Image Coloring Techniques and Applications by Noura Semary
Image Coloring Techniques and Applications
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Author: Noura Semary
Page Count: 198 pages
Published Date: 30 Aug 2013
Publisher: GRIN Verlag
Publication Country: United States
Language: English
ISBN: 9783656341550
Download Link: image coloring techniques and applications
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Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Miscellaneous, grade: -, Minufiya University (Faculty of Computers and Information), language: English, comment: This thesis is a study for various applications which can base on image colorization. In this thesis, there are three new proposed systems. First, a new system for automatically coloring old movies has been proposed . Second, a new system for compressing color images based on HSV model has been proposed . The third proposed system is a new method for automatically color seeds selection using morphology. I would like to express my appreciation to my supervisor Prof. Mohiy Mohamed Hadhoud for his continuous support and encouragement during the research study of this thesis., abstract: After the appearance of Image Colorization in the literature and the different developments of colorization techniques, it was necessary to search for new applications for this new field rather than coloring gray images. This thesis is a research and implementation study for various applications that can exploit from colorization techniques. Three proposed colorization applications are proposed in this thesis; Automatic Movie Colorization System, Color Image Encoding System Using HSI Space Embedding System and Color Image Encoding System Using Morphological Decolorization. The first application of image colorization attracts researchers in this field is Old Movies Colorizing. This thesis presents a new proposal for a system that works on coloring the old movies automatically. The proposed system is based on coloring the film shot by shot instead of frames as it is common in this area. This is done by splitting the film into shots and coloring the first frame in the shot (the key frame) . After that the motion vector between the frames of each shot is generated to transfer the colors from the key frame to the following frames in the shot using the motion vector. Color image encoding becomes an

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