dutu

说明：  平滑滤波，空域滤波与变换域滤波比较，从中说明其中原理(The principle of smoothing filtering is explained by comparing spatial filtering with transform domain filtering)

全变差图像处理方法，利用全变差做图像去噪、去卷积和修复(The tvreg package is a collection of MATLAB functions for total variation (TV) based image denoising, deconvolution, and inpainting, and an implementation of Chan-Vese segmentation)

适合初学者的dsp图像程序，均值滤波程序、代码(Program for beginners DSP image, average filtering program, code)

说明：  能够检测图片的特征点，利用DOG算子，实际测试方便，算法清晰，有相关参考文章链接(Be able to detect image feature points)

VisualC++数字图像处理技术详解第2版光盘-第三章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter 3)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)

说明：  基于内容的图像检索系统，用matlab编写的，用户可以方便地修改添加新特征，减少工作量。(Content-based image retrieval systems, written with matlab, the user can easily modify to add new features, reduce the workload.)

用 双 线 性 插 值 法 实 现 图 像 缩 放(Using bilinear interpolation for image zooming)

　找出图象的最佳阈值，并显示它的二值图．(find the best image threshold, and it shows the value of Figure 2.)

C-C方法计算时间延迟和嵌入维数计算Lyapunov指数计算关联维数混沌时间序列预测,(C - C time delay and embedding dimension method to calculate the Lyapunov index calculating correlation dimension chaotic time series prediction,)