siftDemoV4

基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

实现了立体匹配的SAD算法计算视差图，结果比较理想(Using the SAD algorithm to calculate the disparity map of stereo matching, the result is good.)

说明：  基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

第二代小波变换，基于提升格式的整数小波实现数字图像的无损压缩编码(Second-generation wavelet transform, lifting scheme based on integer wavelet realize the lossless compression of digital image coding)

一种图像处理超分辨率重构方法，主要是利用图像稀疏表示的方法进行图像重构(Super-resolution reconstruction of an image processing method, mainly using sparse representation of image reconstruction methods for image)

图像去雾基于暗原色先验去雾，何凯明算法的源代码改进，(Dark colors on the image to fog prior to fog, He Kaiming algorithm source code improvements,)

首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测(Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract image A，threshold segmentation for difference image，receive binary image，remove the interference region in the binary image，then extract circular area，and sign the target in the original image. Realize the circular bright target detection)

NIPS2006论文“Saliency based on Information Maximization”的源码，用于显著图计算，作者是N. Bruce 和 J.Tsotsos (a code for "Saliency based on Information Maximization",N. Bruce &J.Tsotsos ,NIPS,2006)

Porcupine deals with digital image watermarking. You can embed any visible watermark like a text or another image in any position, or store information invisibly inside using a secret key (password).

对故障信号进行去噪，自己调试的程序，带注释(The fault signal to denoise, debug their own procedures, with notes)