A image quality measure scheme based on the Human Visual System Characteristics was proposed.
基于人的视觉特性提出了一种图象质量的感知测量方法。
An image quality evaluation model that considers characteristics of the human visual system should improve its performance.
在图像质量评价中加入人眼视觉系统特性能够提高其评价性能。
Furthermore, this algorithm, adapted to the local image characteristics, can control the robustness of embedded watermark and improve visual quality of the watermarked video.
同时这种算法可以根据图像局部特征控制水印鲁棒性，改善画质。
A new method to evaluate halftoned image quality that depends on the visual perception characteristics.
一种基于视觉感知特征的半色调图像质量评价方法。
Since human being is the final receiver of output of digital image processing, the characteristics of human visual system (HVS) must be incorporated into the criterion of image quality evaluation.
由于数字图像处理结果的最终接受者是人，因此在评价图像质量时必须考虑到人类视觉系统的特性。
Since human being is the final receiver of output of digital image processing, the characteristics of human visual system (HVS) must be incorporated into the criterion of image quality evaluation.
由于数字图像处理结果的最终接受者是人，因此在评价图像质量时必须考虑到人类视觉系统的特性。
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