According to the characteristics of human visual system, a salient object detection method based on spectral residual and multi-resolution is proposed.
根据人类视觉系统的特点,提出一种融合谱残差和多分辨率分析的显著目标检测方法。
Based on the characteristics of human visual system in the interpolation process, the more accurate brightness information and edge information of the image can be obtained.
插值过程中利用了人眼的视觉特性,能够更精确地得到图像的亮度信息和边缘信息。
Since human being is the final receiver of the image, the key point of the image assessment is that it should be in conformity with the characteristics of human visual system.
由于图像的最终接收者是人,所以评价图像“好坏”的关键在于其是否符合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。
Since human being is the final receiver of the image, the key point of the image assessment is that it should match the characteristics of HVS(human visual system).
由于图像的最终接受者是人,所以评价图像质量的关键在于其是否符合人类视觉系统特性。
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。
We think that it is difficult to modeling exactly characteristics of the human visual system from the structure comparison function in SSIM.
我们通过对SSIM三个评价因子分解实验,认为SSIM中最重要的结构比较因子难以完整准确的建模人眼的视觉特性。
By analyzing the characteristics of the brightness and contrast characteristic of the human visual system, an adaptive visible watermarking algorithm based on DCT was proposed in this paper.
分析人类视觉系统的亮度和对比度特性,提出了一种DCT域自适应可见水印算法。
By analyzing the characteristics of the brightness and contrast characteristic of the human visual system, an adaptive visible watermarking algorithm based on DCT was proposed in this paper.
分析人类视觉系统的亮度和对比度特性,提出了一种DCT域自适应可见水印算法。
应用推荐