Color image profile comparison and computing

Abstract

This paper describes a method that analyzes the content of images while building their colorimetric profile as perceived by the user. First, images are being processed relying on a standard or initial set of parameters using the fuzzy set theory and the HLS color space (Hue, Lightness, Saturation). These parameters permit to describe and qualify the colors and their properties. Each image is processed pixel by pixel and is affected to a detailed initial colorimetric profile. Secondly, we present a method that will recalculate the amount of colors in the image based on another set of parameters, so the colorimetric profile of the image is being modified accordingly. Avoiding the repetition of the process at the pixel level is the main target of this phase, becausereprocessing each image is time consuming and turned to be not feasible. Finally we present the software thatprocesses images and that recalculates their colorimetric profiles with some examples.