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In this paper we propose a unified variational image editing model. It interprets image editing as a variational problem concerning the adaptive adjustments to the zero- and first-derivatives of the images which correspond to the color and gradient items. By varying the definition domain of each of the two items as well as applying diverse operators, the new model is capable of tackling a variety of image editing tasks. It achieves visually better seamless image cloning effects than existing approaches. It also induces a new and efficient solution to adjusting the color of an image interactively and locally. Other image editing tasks such as stylized processing, local illumination enhancement and image sharpening, can be accomplished within the unified variational framework. Experimental results verify the high flexibility and efficiency of the proposed model.  相似文献
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针对Poisson方程图像编辑的篡改检测   总被引:1,自引:0,他引:1  
给出一种针对Poisson图像编辑方法的被动认证方法.首先通过Poisson方程对图像分块粗略匹配以快速地检测出两个相似的克隆区域,再利用像素级精确匹配得到对应区域的精确边界.为了进一步推测篡改者的动机,估计原始图像的真实面貌,将两个对应区域边界上的Laplace值进行累加,比较两个相似区域在边界处的不连续性,可以确定边界具有较大Laplace累加值的区域为克隆目标区,从而实现对Poisson图像编辑的被动认证.实验结果表明,该方法能对同一幅图像中的克隆编辑进行可靠检测,并确定源区和克隆区,为数字图像的被动认证提供有效手段.  相似文献
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大尺度图像编辑的泊松方程并行多重网格求解算法   总被引:1,自引:1,他引:0       下载免费PDF全文
随着获取设备的发展,大尺度、高分辫率数字图像已逐步进入人们的生活,大尺度图像的梯度域编辑显得更为重要,求解大规模未知数的泊松方程是大尺度图像梯度域编辑的关键。传统多重网格算法的迭代、约束和插值操作单独进行,内存和外存间通讯量大,算法效率低,为此提出了一种面向大尺度图像梯度域编辑的并行多重网格求解泊松方程的算法。该算法利用多重网格的迭代、约束和插值过程的内存数据访问局部性和更新相关性,构造滑动工作窗口,使迭代、约束和插值操作并行运行,提高了多重网格算法求解泊松方程的计算效率。全景图拼接实验表明,所提算法的运行效率高于超松弛迭代、高斯塞德尔迭代和传统多重网格算法。  相似文献
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计算机技术是20世纪人类科技进步的突出成就,如今,计算机技术已经应用到人类社会的各个方面,成为生产生活不可或缺的一大工具,本文就近几年来计算机技术在旅游规划当中的应用,进行了初步的研究和总结,探讨了计算机辅助设计的一些方法和技巧,并对以后的发展进行了展望.  相似文献
6.
Jia-Guu   《Pattern Recognition》2000,33(12):2055-2073
In compiling a multimedia document we often need to enlarge the size of an image. The traditional pixel repetition method tends to make the edges jagged. On the other hand, the interpolation-based methods tend to make the edges blurry in the enlarging process. In this paper we propose an image magnification method based on a step edge model. Using the model, we are able to define a straight step edge segment with four parameters. In enlarging a digital image, we first derive the parameter values for its step edge segments. This is like extracting the step edges in the corresponding continuous image. Then we re-digitize the step edges in the continuous image with a finer grid to obtain an enlarged image. In this way, the step edges are able to stay well defined after they are enlarged. The experiments show that in both visual comparison and quantitative analysis, the results produced by the suggested step edge model-based approach are consistently and significantly better than that produced by pixel repetition and bilinear interpolation.  相似文献
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This paper presents a new class of interactive image editing operations designed to maintain consistency between multiple images of a physical 3D scene. The distinguishing feature of these operations is that edits to any one image propagate automatically to all other images as if the (unknown) 3D scene had itself been modified. The modified scene can then be viewed interactively from any other camera viewpoint and under different scene illuminations. The approach is useful first as a power-assist that enables a user to quickly modify many images by editing just a few, and second as a means for constructing and editing image-based scene representations by manipulating a set of photographs. The approach works by extending operations like image painting, scissoring, and morphing so that they alter a scene's plenoptic function in a physically-consistent way, thereby affecting scene appearance from all viewpoints simultaneously. A key element inrealizing these operations is a new volumetric decomposition technique for reconstructing an scene's plenoptic function from an incomplete set of camera viewpoints.  相似文献
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Poisson editing, introduced in 2003, is becoming a technique with major applications in many different domains of image processing and computer graphics. This letter presents an exact and fast Fourier implementation of the Poisson editing equation proposed in (Pérez et al., 2003). The proposed algorithm can handle well all Poisson editing methods that are currently implemented with finite differences and multigrid methods. But it also authorizes fast complex editing strategies where the edited region is obtained by an algorithm instead of a manual selection. The selected region can therefore have a complex topology without additional computational cost. In this letter the proposed method is applied to a classic local contrast enhancement principle introduced in (Caselles et al., 1999). The manual selection of the dark regions is replaced by a lower threshold and the method becomes fast, efficient, level-line preserving, and interactive. The proposed method can be tried on line on any uploaded image at http://www.ipol.im/pub/demo/lmps_selective_contrast_adjustment/.  相似文献
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