利用二值粒子群进行灰度数字半调

Arpitam Chatterjee, K. C. Paul, B. Tudu
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引用次数: 1

摘要

灰度数字半调是电子显示系统的一个重要研究领域。该技术表示可用级别较少的多级连续色调图像。考虑0和1分别为黑色和白色,可以将其形为二值图像生成,用于灰度再现。本文介绍了二进制粒子群优化(BPSO)在生成人眼满意的二进制图案中的应用。利用BPSO最小化视觉代价函数,解决原始多层次图像的局部色调和结构特征。除了色调和结构匹配外,还通过代价函数解决了二值像素分布的均匀性问题。结果显示图形和客观评价流行的图像质量评价指标。评价结果表明,BPSO具有生成高质量半色调图像的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grayscale digital halftoning using binary PSO
Grayscale digital halftoning is an important research area for electronic display system. This technique represents the multi-level continuous tone images with fewer available levels. Considering 0 and 1 as black and white, respectively, this can be shaped as binary image generation for grayscale reproduction. This paper presents application of binary particle swarm optimization (BPSO) towards generating eye-pleasant binary patterns. The BPSO is employed to minimize the visual cost function that addresses local tonal and structural characteristics of original multi-level image. Apart from tonal and structural match, the homogeneity in binary pixel distribution is also addressed through cost function. The results are shown pictorially and evaluated objectively against popular image quality evaluation metrics. The evaluation results show the potential of BPSO to generate high-quality halftone images.
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