Presenting Color Additive Theory on Image’s Channels Dynamically
Utilizing visual characteristics of human eyes, color additive theory can make richer colors from red (R), green (G) and blue (B), the three primary colors. Our people live in a colorful world, and color exists everywhere. Many experiments has proved that the three colors can be mixed together to get various colors. In the paper, color additive theory on RGB is shown in a fun, novel manner by user-friendly dynamic process under Microsoft Visual C++ programming environment, whose purpose is to intuitively present the effect of different color overlapping to the viewers. Following the steps of reading image’s data, displaying the pixels, generating color bitmap and showing the dynamical movement of images in single channel, the program displays the mixing process of any two of red, green, and blue colors to get brighter colors, which are called yellow, cyan and magenta and an equal combination of the three colors can get white color.