This thesis describes summarizing and comparsion of advanced dithering techniques used to reduce the image color space on n-dimensional palette. The goal is to create a set of basic methods including theirs enhancements and modifications focusing on the output image quality and maximum visual fidelity to the original image. Another part of this thesis is to analyze this methods using own comparsing method and design new dithering algorithm combining their advantages.

This thesis describes a computational approach for analyzing the color aesthetics of images from the perspective of color theory. Our work has been informed by the works of Johannes Itten, one of the most influential theorists of color aesthetics. To the best of our knowledge, developing computational models that are based on Itten's theories is our unique contribution to Computer Vision. We focus on three aspects of color usage in visual art, namely modulation, contrast of hue and cold-warm contrast. For modulation, we introduce the color palette, a novel 3D visualization of the chromatic information of an image in the HSL space and propose a set of simple descriptors for evaluating color modulation. For contrast of hue, we assess the spatial color composition of the homogeneous regions. For cold-warm contrast, we assess the spatial color composition of the homogeneous regions and the hue adjacencies. Further, we assess the relative warmth of the homogeneous regions and adjacent hues. We also propose a visualization, namely a 3D histogram to visualize the patterns of the contrasts in an artist's paintings. We validate our methods by comparing our results with Itten's descriptions and comments. We hope that this computational approach improves the color-based features used in the aesthetic classification of images. / Graduate / 0984

Selecting one color can be done with relative ease, but this task becomes more difficult with each subsequent color. Colormoo is an online tool aimed at solving this problem. We implement three algorithms for generating color palettes based off of a starting color. Data is collected for each palette that is generated. Our analysis reveals two of the algorithms are preferred, but under different circumstances. Furthermore, we find that users prefer palettes containing colors that are compatible, but not too similar. With refined heuristics, we believe these techniques can be extended and applied beyond the field of graphic design alone.

The environmental impacts that will affect earth due to continued population growth are staggering. They can be seen through the depletion of finite resources, increased pollution, and climate change. These environmental fluctuations will no doubt have a significant impact on how 21st century societies are designed. In order to reduce the potential catastrophes that these environmental issues will bring forth, societies must learn to adapt and accept new methods of building their cities.This paper delves into how the building industry can help address the issues that the world is facing environmentally. The goal of the study is to develop an understanding of how the building industry can push sustainable building practices. It looks at how Skanska AB, the largest Nordic building company, has focused their internal strategies to push towards sustainable building practices. This paper hopes to determine how with the help an internal rating tool, a global organization can reduce their environmental impacts. Through the examination of Skanska’s Color Palette™, key learnings were gained that could be used to reveal how private corporations can make good business sense out of sustainability. The paper also illustrate how Skanska has identified gaps between traditional certification tools and goals of true sustainability, and what that means for the built environment. The paper presents a case study of Skanska’s Color Palette™ as a key aspect of the company’s environmental journey. It looks at how the company was able to repair their reputation and illustrates how they have proved that they are serious about their goal of pursuing a sustainable future. The study involved secondary analysis of both public and Skanska documents, theoretical analysis and 4 semi-structured interviews.The analysis proved that the Color Palette™ is a tool that has great value for private corporations and is something that should be studied by other organizations seeking to reduce their environmental impacts. However, it was clear that if the earth is to progress sustainably, public policy, markes and internal organizations will all have to work together.