Wide-gamut display technology has provided an excellent opportunity for producing more visually pleasing images. However, through several studies, including Laird and Heynderickx, it has been shown that linearly mapping standard sRGB content to the gamut boundary of the wide-gamut display may not produce optimal results. Therefore, several algorithms were developed and evaluated for observer preference, including both linear and sigmoidal expansion algorithms, in an effort to determine 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. Overall, the sigmoidal GEAs (SGEA) were competitive with the linear GEAs (LGEA), and in many cases, resulted in more pleasing reproductions. The SGEAs provided an excellent baseline, in which, with minor improvements, could be key to producing more impressive images on a wide-gamut display.