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小波多分率分析，用于数字信号和图像处理，噪声的去除(Wavelet analysis multisection rate for digital signal and image processing, noise removal)

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

针对于图像复制粘贴篡改检测，对图像数据进行降维处理，并进行块匹配，比较其图像块欧几里得距离(For copy and paste the image tamper detection, image data dimensionality reduction, and block matching, comparing its image block Euclidean distance)

将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯 噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别 计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)

改进的图像分割算法：运用SLIC超像素分割和DBSCAN聚类算法相结合的方法实现图像分割(Image Segmentation using SLIC SuperPixels and DBSCAN Clustering)

对低质量图像分割和计数，以大米照片为例。(Of low-quality image segmentation and counting to rice as an example photo.)

利用最小二乘法，可以自动实现图像中的椭圆检测并拟合出来，效果很好(Ellipse detection and fitting them to achieve)

基于matlab的、结合深度图像的图像修补( Image patch based on matlab, combined with the depth of the image )

说明：  基于retinex算法对图像进行去雾算法(Image defogging algorithm based on retex algorithm)

用FCM 对自然图像 sar图像以及纹理图像进行快速分割 ，用一维和二维直方图分别对图像进行特征映射 从而快速的对图像进行分割 包含结果截图 (By FCM sar image of natural images quickly and texture image segmentation, with one-dimensional and two-dimensional histogram of the image feature maps were so fast image segmentation screenshot contains the results)