Wide-gamut display technology has provided an excellent opportunity to produce visually pleasing images, more so than in the past. However, through several studies, including Laird and Heynderick, 2008, it was shown that linearly mapping the standard sRGB content to the gamut boundary of a given wide-gamut display may not result in optimal results. Therefore, several algorithms were developed and evaluated for observer preference, including both linear and sigmoidal expansion algorithms, in an effort to define a single, versatile gamut expansion algorithm (GEA) that can be applied to current display technology and produce the most preferable images for observers. The outcome provided preference results from two displays, both of which resulted in large scene dependencies. However, the sigmoidal GEAs (SGEA) were competitive with the linear GEAs (LGEA), and in many cases, resulted in more pleasing reproductions. The SGEAs provide an excellent baseline, in which, with minor improvements, could be key to producing more impressive images on a wide-gamut display.
Library of Congress Subject Headings
Information display systems--Design and construction; Information display systems--Data processing; Color display systems--Design and construction; Color display systems--Data processing; Imaging systems--Image quality; Image processing--Digital technique
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Casella, Stacey E., "Gamut extension algorithm development and evaluation for the mapping of standard image content to wide-gamut displays" (2008). Thesis. Rochester Institute of Technology. Accessed from
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