第三章研究了基于人眼视觉模型的航空影像增强和阴影消除方法。
The third chapter studied the preprocessing of aerial images based on visual perception model of the eye.
同时算法结合了人眼视觉模型，有效地保护了图像的低频部分和强边缘部分。从而确保了加密图像的视觉效果。
At the same time, combined with the human visual model, our algorithm guarantees the visual impression and protects the low frequency part of image efficiently.
针对低对比度图像，结合人眼视觉神经系统的感知特性，提出了一种基于PCNN与LR模型的图像增强方法。
In this paper, a new method of low contrast image enhancement is presented based on PCNN and LR models in conjunction with characteristics of human visual consciousness.
算法对传统二次率失真模型进行了改进，并结合人眼的立体视觉特性，提出了新的码率控制策略。
The conventional quadric rate-distortion model was improved and a new one was introduced by incorporating the human visual system (HVS) characteristics.
人眼模型和角膜模型是视觉光学和眼科学领域的重要研究对象。
Schematic eye and cornea model are important research objects in visual optics and ophthalmology field.
因此提出了基于人眼视觉特性的任意形状区域丢失图像信息的重建模型。
The reconstruction model for the lost image information of the arbitrary-shape area based on the human visual characteristics is put forward.
建立了仿人眼颈视觉系统的数学模型，包括仿人眼颈系统的运动学数学模型和摄像机数学模型。
The math models, which include kinematics math model of the human's eye and neck system and math model of the camera, are established.
文章最后指出基于调制传递函数(MTF)测定并结合人眼视觉系统(HVS)模型的影像质量评价方法有望成为解决影像质量评价难题的突破点。
At last, it is presented that image quality assessment method combined modulation transfer function (MTF) with human visual system (HVS) may be a new breakthrough to solve the image quality problem.
根据人眼视网膜上的锥细胞和柱细胞的视觉特性，提出了用于彩色图像增强的视觉适应性模型。
According to the vision character of cone and rod in human's retina, a new model called vision adaptability model is proposed in this paper, the model aims at enhancing color image.
根据人眼视网膜上的锥细胞和柱细胞的视觉特性，提出了用于彩色图像增强的视觉适应性模型。
According to the vision character of cone and rod in human's retina, a new model called vision adaptability model is proposed in this paper, the model aims at enhancing color image.
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