Thesis (Ph.D.)--University of Nebraska-Lincoln, 2007. / Title from title screen (site viewed Feb. 19, 2008). PDF text: xiii, 272 p. : ill. (some col.) ; 9 Mb. UMI publication number: AAT 3271915. Includes bibliographical references. Also available in microfilm and microfiche formats.

Thesis (M.S.)--Rochester Institute of Technology, 1994. / Typescript. Includes bibliographical references (leaves 168-171).

Thesis (M.S.)--Rochester Institute of Technology, 1992. / Typescript. Includes bibliographical references (leaves 95-97).

Thesis (M.S.)--Rochester Institute of Technology, 2008. / Typescript. Includes bibliographical references (leaves 110-115).

Thesis (M.S.)--Rochester Institute of Technology, 1980. / Typescript. Includes bibliographical references (leaves 83-84).

Thesis (M.S.)--California Polytechnic State University, 2009. / Title from PDF title page; viewed on Sept. 22, 2009. "July 2009." "In partial fulfillment of the requirements for the degree [of] Master's of Science in Engineering with a specialization in Materials Engineering." "Presented to the faculty of California Polytechnic State University, San Luis Obispo." Major professor: Linda Vanasupa, Ph.D. Includes bibliographical references (p. 144-151).

Thesis (Ph.D.)--Rochester Institute of Technology, 2009. / Typescript. Includes bibliographical references (leaves 276-287).

Thesis (M.S.)--Rochester Institute of Technology, 2005. / Typescript. Includes bibliographical references (leaves 111-113).

Thesis (M. Eng.)(Chemical)--University of Pretoria, 2006. / Includes summary. Includes bibliographical references. Available on the Internet via the World Wide Web.

Many digital display devices allow only a limited number of colors to be displayed concurrently. Digitized color images typically contain several hundred to several thousand different colors. If these color images are to be viewed on displays with a limited color palette, the number of colors used to represent the image must be reduced to satisfy the display limits. This process is known as color quantization and is a special case of vector quantization. It has been shown that images containing large numbers of colors can be quantized to a very small color palette with little degradation in visual quality. This thesis presents a new algorithm, based on Heckbert's original median cut procedure, for creating near-original quality images using a small color palette. We have found that slight changes to Heckbert's original algorithm yield dramatic improvements in quantizer performance. The color quantization problem is considered in two parts: the selection of the optimal color palette, and the optimal mapping of each image pixel to a color from the palette. The method to be described is an image dependent quantizer in ROB color space. Resulting image quality is measured both subjectively and with a squared error metric. / Master of Science