pcannc

说明：  利用小波变换技术实现，最简洁的图像融合例子(image fusion.The simplest example of image fusion using wavelet transform technology.)

28个vc++图像处理原程序之--对比度拉伸(28 vc++ Image processing of the original procedure- contrast stretching)

实现图像的几何变换，包括图像的平移、镜像变换、缩放、转置以及旋转。(Achieve geometric transformation of image, including the image translation, image transformation, scaling, transpose and rotation.)

快速角点检测算法，本算法针对图像中存在的线和点进行检测，算法通过matlab程序实现，结果表明具有很好的效果(Fast corner detection algorithm, the algorithm for images that exist in the line and point detection algorithm matlab program, results show that with good results)

实现了图像与视频的信息隐藏，输入图片和视频可进行效果演示(The information hiding of image and video is realized)

简单图像捕获源码程序，结合易语言数码设备支持库，调用API函数发送消息使数码设备捕获图像。(Simple image capture source program, combined with easy language digital equipment support library , call the API function to send a message so that digital devices to capture images.)

一个基于脉冲耦合神经网络的高斯噪声滤波程序，包括源码和实验结果(pulse coupling based on a neural network Gaussian noise filtering procedures, including source and experimental results)

Latent SVM算法实现行人检测opencv(Latent SVM Pedestrian Detection Based on Algorithms opencv)

用均值滤波、中值滤波、维纳滤波法给加高斯噪声的图像去噪(Using the mean filter, median filter, Wiener filter to add the Gaussian noise image denoising)

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.)