emission

卡耐基梅隆大学AAM算法中标定人脸上68个标志点的matlab程序(locate the landmark in the face images)

C#图片浏览(支持鼠标拖动与滚轮缩放)

根据CVPR最佳论文实现的基于暗通道的图像去雾算法（含soft matting），以及算法改进：包括对色彩失真的改进以及一种达到soft matting效果的快速算法(According CVPR Best Paper realized based on dark channel images to fog algorithms (including soft matting), and algorithm improvements: Improvements include color distortion as well as a way to achieve fast algorithm for soft matting effect)

matlab做的标定程序，包括角点检测与张正友标定算法做的，有界面 (matlab to do the calibration interface, including the corner detection algorithm and Zhang Zheng-you do calibration)

说明：  图像增强程序，经测试有一定效果。其中采用模糊增强算法，值得参考。(Image enhancement procedures, have been tested and have a certain effect. Which the use of fuzzy enhancement algorithm, it is also useful.)

图像质量评价，熵、平均梯度、边缘强度、方差等(Image quality evaluation, entropy, average gradient, edge strength, variance, etc.)

这写程序是对加水印之后图像的攻击，包括加噪声，各种滤波，剪切，压缩攻击和旋转等。(This writing process is a plus watermark image after the attacks, including the increase in noise, various filtering, shear, compression and rotation attacks.)

Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.

说明：  对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比(Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising operation to restore the image to a peak signal to noise ratio)

burch型全息图，经测试能正常运行，结果含原图，全息图，再现图(Burch-type hologram, by testing the normal operation, the result with image, hologram, reproduce Figure)