Unal, G. B.Yardimci, Y.Arıkan, OrhanÇetin, A. Enis2016-02-082016-02-0820000091-3286http://hdl.handle.net/11693/24986Printing color images on color printers and displaying them on computer monitors requires a significant reduction of physically distinct colors, which causes degradation in image quality. An efficient method to improve the display quality of a quantized image is error diffusion, which works by distributing the previous quantization errors to neighboring pixels, exploiting the eye's averaging of colors in the neighborhood of the point of interest. This creates the illusion of more colors. A new error diffusion method is presented in which the adaptive recursive least-squares (RLS) algorithm is used. This algorithm provides local optimization of the error diffusion filter along with smoothing of the filter coefficients in a neighborhood. To improve the performance, a diagonal scan is used in processing the image.EnglishAdaptive algorithmsColor image processingError detectionFIR filtersImage analysisImage qualityLeast squares approximationsOptical filtersOptimizationVector quantizationColor ditheringColor imagesError diffusionQuantization errorsQuantized imageOptical engineeringArticle10.1117/1.1313749