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Visual Fidelity of Bilevel Halftones Generated by the Error Diffusion Filter Optimized for the Blue Noise Masks in All Tone Levels

机译:由误差扩散滤波器产生的Bilevel Halftones的视觉保真度针对所有音调级别的蓝色噪声掩模进行了优化

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In this paper a set of the optimum error diffusion filters is presented for the bilevel halftoning of grayscale images and the visual fidelity of the bilevel halftones generated by the error diffusion filters is investigated. The error diffusion filter is optimized with respect to the ideal blue noise mask (BNM) corresponding to a single tone level. The number of the optimum filters is hence equal to that of different tones. The filter coefficients are optimized by the minimization of the squared error norm between the frequency response of the filter and the Fourier spectrum of the BNM. During the process of optimization, the binary pattern power spectrum manipulation algorithm (BIPPSMA) is applied. Visual fidelity of the bilevel halftones generated by the error diffusion filters is investigated in terms of a weighted signal-to-noise ratio (WSNR) and Fourier power spectra. Experimental results have demonstrated that the proposed filter set generates satisfactory bilevel halftones of grayscale images.
机译:在本文中,呈现了一组最佳误差扩散滤波器,用于灰度图像的彼此半色调,并研究了由误差扩散过滤器产生的Bilevel半色调的视觉保真度。相对于对应于单音电平的理想蓝噪声掩模(BNM),优化误差扩散滤波器。因此,最佳滤波器的数量等于不同音调的数量。通过最小化滤波器的频率响应与BNM的傅里叶频谱之间的平方误差范数最小化优化过滤器系数。在优化过程中,应用了二进制模式功率谱处理算法(Bippsma)。根据加权信噪比(WSNR)和傅里叶功率谱来研究由误差扩散滤波器产生的Bilevel Hargton的视觉保真度。实验结果表明,所提出的滤波器组产生令人满意的灰度图像的Bilevel Hargtones。

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