Image and Color Stylization through Region-based Abstraction

In Non-Photorealistic Rendering (NPR), abstraction methods simplify images. The NPR techniques produce stylized imagery by emphasizing the main structures through stroke elements, colors and removing unessential image information. However, the difficulty of abstraction lies in deciding what is important to be presented. This thesis introduces a few non-photorealistic rendering techniques for stylizing images by manipulating the image's elements such as details, complex region forms, and colors. To increase the visual interest in abstractions, it integrates contrast, texture, and structure preservation in designing the proposed algorithms. We propose an abstraction method based on an over-segmentation through overlapping region growth. The main idea of this method is to create stylized images by complex primitives. Unlike traditional over-segmentation methods, this method emphasizes the irregularity of region shape even in uniform areas. The region creation by overlapping allows us to preserve small structures. Additionally, we extend the creation of stylized images through this framework by manipulating the color and shapes of the region primitives. As an application of the region-based framework, we present a novel recoloring algorithm based on a tree-based structure, which produces wild recolorizations. A set of colorful abstractions are produced with various styles by considering contrast and structure preservation. We further engage image regions in providing a method for improving stippling in extreme-tone regions of the image. This method identifies dark regions and replaces them with polygons rather than stipples. For light regions, it suggests a mechanism to control the stipple placement. This approach generates stippled images with better visual quality than the originals despite using fewer stipples. Finally, we present an automatic system for photo manipulation that brightens an abstraction and alters the detail levels. By employing a smooth map, we brighten the photograph such that the areas of interest will get increased contrast while colors in the areas of less interest will become lighter and less saturated. We define a system for scoring texture elements, to establish different levels of texture indication.

Name thesis:degree_name

Doctor of Philosophy (Ph.D.)

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Computer Science

Grantor dc:publisher

Carleton University

Year dc:date.issued

2021

Author dc:creator

• Azami, Rosa

Statement dc:rights

• Copyright © 2021 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

Language dc:language.iso

en

DOI

10.22215/etd/2021-14568

OAI identifier oai:identifier

oai:carleton.scholaris.ca:20.500.14718/41080