2jxiaobozhengqiang

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 to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)

说明：  用来做小波分析，开源程序，可画出小波功率谱，小波全谱，程序中有参考文件的网址，非常方便·新手使用(Used to do wavelet analysis, open source program, can draw the wavelet power spectrum, wavelet full spectrum, the program has a reference file of the website, very convenient for beginners to use)

有限脊波变化matlab源码 基本的变换(Limited changes in ridgelet basic transform matlab source)

用水平集和形态学结合的方法分割图像，主要用于对比度低的医学图像，效果较好(Using level set and morphological segmentation with the method of combining images, mainly for low-contrast medical images, better)

sift算法引用于图像处理的一些常用程序(a reference to the image processing algorithms sift some common procedures)

维纳滤波和均值滤波，及利用自适应维纳滤波的图像去噪MATLAB代码，效果优于维纳滤波(Using adaptive Wiener filtering for image denoising MATLAB code, the effect is better than Wiener filtering)

Freeman链码（8方向）代码，进行图像边缘的描述，可用于基于内容的图像检索系统(Freeman chain code (8 directions) code)

灰度共生矩阵的计算程序，包括子程序，可以用在纹理分析上，还不错(Gray-level co-occurrence matrix calculation procedures, including subroutines, can be used in texture analysis, but also good)

说明：  关于非下采样轮廓波域红外与可见光图像配准算法(On the registration algorithm of infrared and visible image in unsampled contour wave domain)

一种使用牛顿迭代的超分辨算法，该算法以2的对数提高传统Landweber算法的运算速度，附带文章。(The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations, thus necessitating efficient post-processing to achieve resolution improvements. A novel image super-resolution algorithm, Regularized-Newton-Residual (RNR) algorithm, is proposed for Passive Millimeter wave imaging (PMMW). First Newton inversion algorithm is introduced into the field of image restoration. The iterative scheme of Newton algorithm is deduced based on normal equation. Then, residual method is employed to achieve better performance and implement spectrum extrapolation. Experimental results demonstrate the algorithm is insensitive to noise distribution. Furthermore it has high super-resolution rate and fast convergence speed. )