@mastersthesis{Ochs2000_0,<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Abstract = {Color appearance models are used to predict the perceived color of a source. Within these models are chromatic-adaptation transforms that predict matches only across different viewing conditions. They ignore many of the factors that are used later on in a model. This project was performed to create a simpler and easier to use chromatic-adaptation transform that was also a linear transform. This was based on the previously known CIECAM97s color appearance model and the non-linear chromatic-adaptation transform that it utilized. The research specifically attempted to create a new transform that will go from XYZ to RGB coordinates that will allow a chromatic adaptation model to perform as well as the Bradford model in CIECAM97s, but while using the linear von Kries rules. A new transform was found, but it can be concluded that it did not perform as well as the CIECAM97s transform.},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Address = {Rochester, New York, United States},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Author = {Matthew J. Ochs},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Keywords = {chromatic adaption},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Month = {May},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;School = {Rochester Institute of Technology, College of Science, Center for Imaging Science},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Title = {Development of a Linear Version of the CIECAM97s Chromatic Adaptation Transform},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Type = {Senior Research Project},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Url = {https://ritdml.rit.edu/dspace/bitstream/1850/5788/1/MOchsThesis05-2000.pdf},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Year = {2000}