In this paper, we propose an error diffusion halftoning algorithm for grayscale image using blue noise spectra. The algorithm is search for the error diffusion filter coefficients in all gray levels (i.e. intensity levels) by optimizing the total erro...
In this paper, we propose an error diffusion halftoning algorithm for grayscale image using blue noise spectra. The algorithm is search for the error diffusion filter coefficients in all gray levels (i.e. intensity levels) by optimizing the total error between the obtained Fourier spectrum and the designed blue noise spectrum for blue noise mask (BNM). At each gray level, BNM is designed so that the pattern has the construction of binary patterns, and also its power spectrum has blue noise (high frequency) characteristics in the frequency domain which are the human visual system (HVS). Experimental results show that error diffusion filter is obtained to design BNM according to various parameters of the binary pattern power spectrum manipulation algorithm (BIPPSMA).