And eliminate common infrared flashlight effect, more natural image. 并杜绝普通红外的手电筒效应。
Blind Forensics for Detecting Change of Low Order Statistics in Natural Image 低阶统计量改变的自然图像盲取证技术研究
This paper presents an efficient algorithm for alpha estimation based on perceptual color space in natural image matting. 提出一种用于自然图像抠图的高效的基于感知颜色空间的透明度估计方法。
An Image Splicing Detection Algorithm based on Natural Image Statistics Characteristics 基于自然图像统计特性的拼接图像检测算法
Identifying Natural Image and Computer Graphics Based on HMM Results Information and characters were recovered from hidden, fragmentary, unclear and illegible image. 基于隐马尔可夫模型的自然图像和计算机图形的鉴别结果对案件的隐含、缺、弱信息,模糊图像、形物证复原及特征显现。
A Novel Method for Extracting Object-of-Interest from Natural Image by Integrating Prior Knowledge 一种综合先验信息的从自然图像中提取感兴趣物体的新方法
This paper proposes a Markov random field ( MRF) model-based approach to natural image matting with complex scenes. 为了取得更好的抠图效果,提出了一种基于马尔可夫随机场的自然图像抠图方法。
A Local Learning Approach for Natural Image Matting 一种基于局部学习的自然图像景物提取方法
A new technique for detecting regions of interest in a natural image by using visual attention model and Fuzzy Support Vector Machine ( FSVM) is proposed. 为此,提出一种视觉注意机制和模糊支持向量机(FSVM)相结合的算法。
A Region Growing Based Poisson matting is proposed based on Poisson matting, and natural image matting is realized using this method. 然后在Poisson抠图技术的基础上,提出了基于区域生长的Poisson抠图方法,实现了自然图像的抠图。
This paper proposes a fast natural image matting method based on perceptual color space. 提出了一种基于感知颜色空间的快速自然图像抠图算法该算法首先手工把图像进行区域划分;
In this paper, the author is attempting to apply ICA to the financial datas and natural image denoising, at the same time we give their simulative results. 在本文中,作者还尝试着将ICA运用到金融数据分析和图像的消噪方面,并给出了其仿真结果。
Visual attention computational model and its application in natural image compression 视觉注意计算模型及其在自然图像压缩中的应用
The Research of CCD Natural Image De-noise and Segmentation in Machine Vision 机器视觉中CCD自然图像的降噪和分割研究
Implementation and theory foundation of the method, as well as the creditability analysis and natural image matching results are provided in the paper. 文中给出了其方法、理论基础、可信性分析和最终的实际匹配结果。
Non-negative sparse coding ( NNSC) relies on natural image statistical properties, therefore, it is self-adaptive. 非负稀疏编码(NNSC)算法仅依赖自然图像数据的统计特性,具有自适应性。
This paper proposes a novel wavelet frame packet analysis approach for automatic retrieval of images in a colored natural image database. 针对彩色自然图像数据库,提出了一种新的基于小波帧包变换的自动检索方法。
First of all, overcomplete set of receptive fields of simple cells was learned from the natural image sequences. Then the effective characteristics of natural images were expressed. 首先从自然图像中学习简单细胞感受野超完备集,然后对自然图像有效特征进行表示,最后提取了形成视像的有效信息。
The model was applied to natural image compression experiments, and verified the effectiveness and efficiency of the image representation model based on biological visual mechanism. 并将该模型应用于自然图像的压缩实验,验证了该基于生物视觉机理的图像表征模型的有效性和高效性。
A natural image with rich details may have huge space and time complexity. 对于具有丰富细节的自然图像,可能会有很高的空间复杂度和时间复杂度。
For the basic methods, medical image quality assessment is the same as general natural image. 从基本方法上说,医学图像质量评价和普通自然图像的质量评价是相同的,但是医学图像的获取方式决定了医学图像与自然图像不同。
Based on review and conclude the relevant domestic and international literatures, we have done a serious research and analysis about image segmentation approaches. Then, we have explained exist problems, background and significance of natural image segmentation. 本文在回顾总结国内外针对自然图像分割的相关文献的基础上,对流行的图像分割方法进行了分析研究,阐述了自然图像分割存在的问题、研究背景和意义。
This paper made a detailed research on biological vision principles and proposed a neural model of motion perception for natural image sequences based on the recent findings. 本文从另一角度出发,通过深入研究生物视觉原理,在国内外的新近研究成果的基础上,给出了一个可用于真实图像序列运动感知的神经动力学模型并对其进行了仿真和分析。
Multi-scale structure is one of the elemental qualities of natural image. 多尺度结构是自然图像的基本特征之一。
The saliency measure is based on natural image statistics, rather than based on a single test image. 不同于其他的显著性度量,仅依赖于单个测试图像,该模型依赖于大量的自然场景图像。
The papers draw on the usage of AIS in other areas, and constantly improve its image classification. First, the paper in the theory and algorithms based on natural image classification algorithm based on artificial immune system. 论文借鉴AIS在其它领域的用法,不断完善其对图像分类的应用。首先,论文在相关理论与算法的基础上,提出了基于人工免疫系统的自然图像分类算法。
Image denoising in image processing is a classic problem, the best denoising result is that the edge of the image and detail information can be well retained and getting a new image that is close to the natural image. 图像去噪在图像处理中是一个经典问题,最理想的去噪结果是去除噪声后能很好的保留图像的边缘部分和细节信息,得到一幅接近自然图像的新图像。
The denoising of a natural image is a classic problem in signal processing. The wavelet transform has become an important tool for this problem due to its energy compaction property. 图像去噪是信号处理中一个受关注的问题,由于小波变换的能量压缩特性使其成为目前图像去噪中主要采用的方法。