image

基于SURF算法的图像拼接程序，执行效率高于SIFT算法(Executive efficient than SIFT algorithm based on the the SURF algorithm of image stitching procedure)

说明：  用POCS方法对图像进行超分辨率重构，matlab源码，有解释(POCS method using super-resolution reconstruction of images, matlab source code, to explain)

由于图像在经过一次 JPEG 压缩和双重 JPEG 压缩之后其 DCT 系数具有一定的相关性，通过对这种相关性进行分析，提出了一种基于 JPEG 图像双重压缩特性的图像篡改检测算法，并用此算法检测图像是否经过篡改和定位篡改区域。 (Since the image after a first JPEG compression JPEG compression and double its DCT coefficients having some relevance, by this correlation is analyzed, and an image based on JPEG image compression characteristic double tamper detection algorithm, and the algorithm used to detect whether the image been tampered with and locate the tampered areas.)

1．选择一幅图像，对该图像进行DCT块操作（将图像分成8×8小块，对每个小块进行DCT变换）。 2.利用屏蔽矩阵对DCT系数进行区域选择，然后进行逆变换（IDCT），合成原图像，计算合成图像的PSNR。 3.选择一小波函数，对一幅图像进行分解，显示各变换系数，观察其规律，并进行小波逆变换，合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)

通过IDL，简单实现灰度变换，彩色变换等基本操作，包括图片打开保存拖拽显示(Simple implementation of gray level transformation, color transformation and other basic operations)

是国外大牛编写的，对图像进行二维反卷积恢复代码,该代码主要针对图像的失焦模糊。(Prepared by the large foreign cattle 2D deconvolution, image recovery code.)

运动目标提取算法，针对多帧图像累加后运动区域的提取(Moving object extraction algorithm for multi-frame image motion region extraction after accumulation)

深度图像的快速实现增强的算法，效果非常好，但是速度很快(Quick to realize the depth of image enhancement algorithms, the effect is very good, but fast)

一个SAR目标边缘自动检测与定位算法的一个车辆检测的视频(A vehicle detection, an automatic detection and localization of SAR edge algorithm of video)

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)