搜索资源列表
MS-SSIM
- 许多学者在SSIM 的基础上进行了改进，如 Wang等人 提出了多尺度结构相似性( MSSSIM) ，得到了比单 一尺度更好的结果.- This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of vi
FSIM
- Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 -A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according
AddGesture
- 通过添加手势和识别手势来实现对图像的处理功能。识别手势是根据相似度判断的。-By adding gestures and gesture recognition to achieve the image processing functions. Gesture recognition is based on the similarity judgment.
c_locale
- For every pixel in the reference picture, we search for the local best match in the compressed image. This is not a symmetrical measure.Max value returned in case of exact similarity.
基于梯度的图像质量评价
- 梯度图像质量评价，结构相似度。Matlab codes for Image Quality Assessment Based on Gradient Similarity.
PTS-code(codePimagePfigure)
- 自然界中存在大量的纹理，往往具有自相似性，即一小块纹理就能反映整体纹理的特点。先有一个小的纹理图像,然后合成一个大的。-The presence of large amounts of grain in the nature, often with self-similarity, namely a small piece of texture can reflect the overall characteristic. There is a small texture image first
fast-template-matching
- 本文提出一种基于图像边缘几何特征的快速模板匹配算法。算法利用边缘 点的位置和梯度方向作为匹配信息进行相似度计算。可以很好的避免因图像明 暗变化、光照不均匀、旋转所带来的影响，且对于部分遮挡的情况，亦可以得 到良好的匹配结果。为了得到边缘点坐标和梯度方向，本文根据曲面拟合原理， 通过平移变换，推导出精确梯度方向和亚像素边缘坐标的快速算法。既加快了 算法的处理速度，也是匹配算法高精度的前提保证。为了使匹配算法满足实时 性要求，主要采用阈值判断和图像金字塔算法的搜索策略。在阈值
paper6
- FSIM a feature similarity index for image quality assessment
paper7
- Gradient magnitude similarity deviation a highly efficient perceptual image quality index
paper1
- Edge strength similarity for image quality assessment
paper2
- Image quality assessment based on gradient similarity
ssim1
- 输入两幅大小等已配准相同的图像，计算两幅图像的结构相似度，可以应用于图像各种处理，基于人类视觉，是一个很好的图像相融合质量评价效果-Enter two sizes, etc., have the same image registration, two images to calculate structural similarity, may be applied to a variety of image processing based on human vision, it is a v
Massively-Parallel-Approach-to-Pattern-Recognitio
- Template matching is concerned with measuring the similarity between patterns of two objects. This paper proposes a massively parallel approach to pattern recognition with a large template set. A class of image recognition problems inherently
NBS
- 测量NBS距离来进行颜色之间相似度的计算从而进行图像像素合并-NBS measure the distance to the calculation of similarity between the image pixel color and thus merge
hash
- 感知哈希比较图像的相似度，先将图像归一化，然后在比较图片- Perceptual similarity hash comparison image, the first image normalization, then the comparison image
Ativnoisinmeans-c
- An adaptive image denoising technique based on the nonlocal means (NL-means) algorithm is investigated in this research. The proposed method first employs the singular value decomposition (SVD) method and the K-means clustering (Kmeans) techn
ssim3
- ssim是结构化相似度，描述两个图像之间在结构上的相似程度，一般用与检测图像的不可见性。-Ssim is structural similarity, described in structural similarity between two images, and is commonly used in testing the invisibility of the image。
ImVMe
- windows环境下，visual studio 2008 C#语言开发； 功能包括：（1）浏览图片，生成图片文件列表，自动按照预先指定的模式分析图片；（2）支持按照分析结果排序，即按照图片内容排序，则相似图片相邻排列；（3）对相似度达到一定水平的相邻图片，高亮标注，容易找到相同图片，容易找到较为相似的图片。-browse image file in one directory and sub-directory sort image file by similarity mark
SSIM
- SSIM衡量两幅图像结构相似度的经典方法-SSIM Measure two classic methods of image structure similarity
pingjiazhibiao
- 融合图像评价指标，包括平均梯度，交叉熵，信息熵，互信息，结构相似性等。-Fused image uation, including the average gradient, cross entropy, information entropy, mutual information, and so on structural similarity.