Experimental investigation of HSL color model in error diffusion

Abstract

In order to minimize the processing time and maintain the color palette, simplify the processing of, our research category the available colors into primary color the colors from the photographic processing by Error Diffusion, the research will use the color space HSL as color model to build the error diffusion application which designed for available and limited colors to making fine arts such as tile mosaic art or cross-stitch art. Those commonly used image formats: BMP, JPG, GIF, PNG; are raster images which data are saved in pixel. If we reduce colors from those four image format using the error diffusion, the system will consume lots of running time and generate too many colors. In order to reduce processing time and colors, the research will use HSL. HSL were widely adopted as a standard alternative to RGB due to the low processing running time, and their close to artist's color theory and better image edge detection. This research will compare those result images generated by Floyd and Steinberg error diffusion with two color spaces HSL and RGB.