ibd_blindequalizer

光流法、帧间差分法、高斯背景模型差分法，在opencv环境下实现运动目标检测(moving objective detection matlab)

冲激函数、阶跃函数及三角函数的小波变换、模极大线并求它们的李氏指数(The impulse function, step function and wavelet transform of the trigonometric function, the modulus maxima line and the Lipschitz exponents)

基于JPG2000图像的超分辨率重建的matlab程序(JPG2000-based super-resolution reconstruction of image matlab program)

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)

用matlab对指纹识别图像算法的实现，包括分割，增强，二值化，细化，提取和匹配(Using matlab fingerprint image algorithm, including segmentation, enhancement, binarization, thinning, extraction and matching)

对图像进行处理，利用拉普拉斯锐化进行边缘检测。(The image is processed and the edge is detected by Laplasse sharpening.)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

使用contourlet变换对图像进行去噪处理(Image denoising using contourlet transform)

说明：  适合初学者使用，简单的直接调用该函数即可。(Suitable for beginners to use, simply call the function directly.)

用matlab编写的图像恢复程序，实现压缩后图像的恢复()