This paper proposed a color image enhancement using statistical quartiles and sigmoid functions to compensate perceptually the characteristics of a destination device. Sigmoid functions are usually utilized to overcome the nature loss in perceived lightness contrast that results when an image from a full dynamic range device is scaled into the limited dynamic range of a destination device. The adaptive quartile sigmoid function operator (QSFO) is selected based on cumulative distribution function that was developed from the results of a psychophysical experiment. Final, a two-factor factorial experiment with repeated measures was conducted to verify the effects of six enhanced methods. There was a significant effect of the level of enhanced methods on the ranking score. The results of this study revealed that adaptive quartile sigmoid function operator was possible to enhance contrast of source images into preferred destination images.
Chao-hua Wen, Jyh-jiun Lee, Yi-chin Liao, "Adaptive Quartile Sigmoid Function Operator for Color Image Contrast Enhancement" in Proc. IS&T 9th Color and Imaging Conf., 2001, pp 280 - 285, https://doi.org/10.2352/CIC.2001.9.1.art00051