This thesis mainly studies adaptive digital image watermarking algorithms based on human visual system (HVS).
本文主要研究基于人眼视觉特性的自适应图像水印算法。
A nature scene image color-texture feature extraction method based on human visual system (HVS) was proposed.
提出了基于人类视觉系统的自然场景图像颜色和纹理特征提取方法。
To efficiently remove the limit cycles in dark region of an error-diffused halftone image, an inverse halftoning algorithm based on human visual system is proposed.
针对误差分散半调图在黑灰区域的“有界循环”现象，提出了一种基于人眼视觉系统的逆半调算法。
To efficiently remove the limit cycles in dark region of an error-diffused halftone image, an inverse halftoning algorithm based on human visual system is proposed.
针对误差分散半调图在黑灰区域的“有界循环”现象，提出了一种基于人眼视觉系统的逆半调算法。
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