This thesis tries using an novel image enhancement method based on human visual properties and improved PCNN image factorization to enhance medical images.
本文尝试将一种基于人眼视觉特性和改进的PCNN图像因子分解的增强方法应用到医学图像增强中。
参考来源 - 基于改进的PCNN图像因子分解的医学图像增强算法·2,447,543篇论文数据，部分数据来源于NoteExpress
An algorithm for medical X-ray image enhancement based on human visual properties and improved PCNN image factorization is proposed.
提出一种基于人眼视觉特性和改进的PCNN图像因子分解的X线医学图像增强算法。
And it USES the texture, frequency and direction of image to choose the embedding position and intensity according to human visual properties.
根据人类的视觉特性，由图像的纹理、频率、方向特征自适应地确定嵌入位置与强度。
With popularization of large dynamic range IR thermal imaging system, it is necessary to study IR-image-display terminals which suit for human visual properties.
随着大动态范围热成像器件的广泛使用，有必要研究适合人类视觉特性的红外热像终端显示系统。
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