A Support System for Adaptive Color Replacement by the Preference from User Collected Digital Images

Abstract

In this paper, we propose a support system of color correction and replacement from user collected digital images semi-automatically. This system works in three steps. First, it calculates the histograms of HSV data from user collecting digital images. These histograms that can be interpret as a "user preference" act as a color filter. Second, it calculates a set of histograms from one image which user inputs into it to want to modify the part of colors. Simultaneously, the resemble data are selected by histogram intersection from phase 1. Third, the system replaces or corrects the colors in the target image. As a result, users can correct the color of image by the "implicit" preference.