Description: zhou wang提出的结构相似性图像质量评价算法，是一种全参考的质量评价模式-zhou we analyze the dynamic process of the structural similarity of image quality evaluation algorithm, is a reference to the quality of the whole evaluation model Platform: |
Size: 35931 |
Author:Guo |
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Description: zhou wang提出的结构相似性图像质量评价算法，是一种全参考的质量评价模式-zhou we analyze the dynamic process of the structural similarity of image quality evaluation algorithm, is a reference to the quality of the whole evaluation model Platform: |
Size: 35840 |
Author:Guo |
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Description: 系统根据用户对检索结果的评价，动态构造神经网络，描述图像之间的相似性；图像间的这种相似性以及本次检索结果可以作为以后检索的历史信息保存在神经网络中，从而提高下一次检索的效率。实验表明，该方法嵌入到典型的图像检索系统中，改善了图像检索性能。-System based on user evaluation of search results, dynamic structural neural network, described the similarity between images this similarity between images and the search results can be used as future retrieval of information stored in the history of neural networks, thereby enhancing the under a retrieval efficiency. Experiments show that the method is embedded in a typical image retrieval system, improve the image retrieval performance. Platform: |
Size: 151552 |
Author:焦亚民 |
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Description: 该程序SSIM（结构相似度）是基于matlab平台，用于图像的客观质量评价，是FR中精典算法-The program SSIM (structural similarity) is based on matlab platform for an objective image quality evaluation, is in the classical algorithm FR Platform: |
Size: 2048 |
Author:jian |
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Description: This an implementation of the algorithm for calculating the
Structural SIMilarity (SSIM) index between two images.- This is an implementation of the algorithm for calculating the
Structural SIMilarity (SSIM) index between two images. Platform: |
Size: 2048 |
Author:ahsh |
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Description: 提出一种带边界匹配的基于 Graph Cut 的快速纹理合成算法.通过将纹理样本以不同的位移贴到输出图中完成合成 ,重叠区域的像素取值由 Graph Cut 确定.引入边界图辅助位移搜索 ,以增强合成结果的边界连续性 在预处理过程中计算 2 个相同样本在所有相对位移下的匹配误差 ,选取一部分误差最小的位移组成 “优选位移” 集合 ,合成过程中的块间相对位移仅从此集合中选取 ,大大地提高了合成速度.-This paper proposes an efficient method for texture synthesis based on graph cut echnique and edge map.By the method, the synthesis is made by iteratively pasting the sample to the output with different displacements , and graph cut technique is used to find the optimal patch boundaries. To make the edge continuously better reserved, edge map is introduced to measure the structural similarity in the displacement search. In the preprocessing step , match errors for all relative displacements of two samples are calculated , and several displacements with the smallest match errors are selected to form the "optimal displacement set" . In the synthesis step , the relative displacements are fully chosen only from this set. Platform: |
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Author:巡洋舰 |
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Description: 基于结构信息提取的图像质量评价构相似性理论是一种关于图像质量评价的新思想．与自底向上地模拟人眼视觉系统(HVS)低阶的组
成结构不同，结构相似性理论自顶向下地模拟HVS的整体功能．-Theory is a kind of image quality evaluation about the new thoughts. And the simulation of human visual system (HVS) low-level group
Into different structure, the structural similarity theory from the top down to simulate the function of the HVS. Platform: |
Size: 416768 |
Author:抓党建 |
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Description: 提出了一种基于多通道 Gabo r滤波器和 FCM聚类的图像融合新方法。该方法先利用模糊
C2均值聚类算法在多通道 Gabo r滤波器形成的特征空间上对图像进行区域分割 再对待融合图像进行多尺度小波分解 在此基础上利用 Gabo r滤波器提取高频段纹理特征构造区域相似度 ,应用区域相似度及信息量构造加权因子 ,从而得到融合图像的小波系数 最后 ,利用小波逆变换得到融合图像.-Proposed a multi-channel Gabo r filter and FCM clustering for image fusion method. The method first C2 means clustering algorithm using the fuzzy multi-channel Gabo r filter in the formation of the image feature space segmentation re fused to treat multi-scale wavelet decomposition image on this basis, the use Gabo r filter from the high frequency structural similarity region texture features, application areas and the information structure similarity weighting factor, resulting in fusion of the wavelet coefficients Finally, the inverse wavelet transform fusion image. Platform: |
Size: 458752 |
Author:guoj |
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Description: This is an implementation of the algorithm for calculating the
Structural SIMilarity (SSIM) index between two images. Please refer
to the following paper:
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image
quality assessment: From error visibility to structural similarity"
IEEE Transactios on Image Processing, vol. 13, no. 4, pp.600-612,
Apr. 2004. Platform: |
Size: 2048 |
Author:Annie |
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Description: This an implementation of the algorithm for calculating the
Structural SIMilarity (SSIM) index between two images. Please refer
to the following paper:
- This is an implementation of the algorithm for calculating the
Structural SIMilarity (SSIM) index between two images. Please refer
to the following paper:
Platform: |
Size: 2048 |
Author:qht |
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Description: SSIM 近些年来被广泛用于衡量图象的质量,它克服了PSNR固有的一些局限性.目前网络上的SSIM相关的实现代码主要是MATLAB或者使用OPENCV库的代码.本代码完全采用C语言实现,接口简单,便于嵌入到用户代码中评估生成的图象质量-Using pure C language, this code implement the SSIM algorithm presented in the paper "Image Quality Assessment: From Error Visibility to
Structural Similarity" of IEEE Transaction on image processing. Platform: |
Size: 91136 |
Author:罗忠祥 |
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Description: 用于图像的质量评估，比较原始图像与受躁图像之间的结构相似度。
-For image quality assessment, by comparing the original image and the structural similarity between the images impatient. Platform: |
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Author:xiaoai |
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Description: Zhou Wang proposed a new idea of Structural Similarity Index (SSIM )for image quality measurement based on the assumption that the HVS is highly adapted to extract structural information from the viewing field. The Mean Structural Similarity Index (MSSIM) contains three parts: Luminance Comparison l(x, y), Contrast Comparison c(x, y) and Structure Comparison s(x, y). Platform: |
Size: 2048 |
Author:ahmed seghir |
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Description: 图像质量评价的一个重要的指标：平均结构相似度（MSSIM），比PSNR有更好的性能，并且计算简单。-Image quality assessment is an important indicator: Average structural similarity (MSSIM), better than the PSNR performance, and easy to compute. Platform: |
Size: 2048 |
Author:田野 |
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Description: 质量评价 用于评价原图像和失真图像之间的质量关系 用结构相似度进行评价-Quality assessment used to evaluate the distortion of the original image and the image quality of the relationship between structural similarity with the evaluation Platform: |
Size: 2048 |
Author:吴辉 |
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Description: FISM——结构相似度，它的功能为评价图像去噪效果，值越接近1，去噪结果越好。-FISM-- structural similarity, it functions is for the evaluation of image denoising effect, closer the value is to 1, better is the denoising results. Platform: |
Size: 1158144 |
Author:yuan |
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Search - structural similarity