Color variations in pseudo color processing of graphical images using multicolor perception
Selvapriya B, Raghu B
In digital image processing, image enhancement is employed to give a better look to an image. Color is one of the best ways to visually enhance an image. Pseudo-color image processing assigns color to grayscale images. This is useful because the human eye can distinguish between millions of colures but relatively few shades of gray. Pseudo-coloring has many applications on images from devices capturing light outside the visible spectrum, for example, infrared and X-ray. A Color model is a specification of a color coordinate system and the subset of visible colors in this coordinate system. The key observation in this work is variation of colors in Pseudo color images using multicolor perception. This technique can be successfully applied to a variety of gray scale images and videos.
Selvapriya B, Raghu B. Color variations in pseudo color processing of graphical images using multicolor perception. International Journal of Advanced Research and Development, Volume 1, Issue 2, 2016, Pages 39-43