matlab灰度图象缩小实验

自己编的pal-King增强算法的代码和基于模糊熵的增强算法代码(Own series pal-King Enhanced the algorithm code based on fuzzy entropy enhancement algorithm code)

说明：  利用小波变换技术实现，最简洁的图像融合例子(image fusion.The simplest example of image fusion using wavelet transform technology.)

说明：  小波变化是对傅里叶变换和短时傅里叶变换的一个突破，其改变就在于，将无限长的三角函数基换成了有限长的会衰减的小波。(Wavelet transform is a breakthrough of Fourier transform and short-time Fourier transform. Its change lies in that the infinite trigonometric function base is replaced by the finite attenuation wavelet.)

本文主要介绍遗传算法的基本理论，叙述遗传算法在图像增强的的主要应用，即将原始图像变得更加清晰，特征变得更加明显。 现今关于图像增强的算法有很多，而这些算法大多是基于退化函数或者点扩展函数的知识进行图像处理的。当图像出现模糊或噪声影响大时，设计出的图像清晰化的效果肯定不够理想，因此有必要对图像进行增强处理。于是，可利用到遗传算法这种成熟稳定的仿生物进化的全局寻优算法，进行图像增强，由于遗传算法控制参数少、自适应度高，将选择该方法对图像退化分别进行不同的清晰化处理. 这样既增强了图像的对比度,又克服了传统直方图均衡化处理所造成的灰度级损失等缺点。 通过实验去表明，遗传算法从全局寻优的角度出发，能够较为精确地估计退化系统函数。和传统的线性增强、直方图均衡进行比较。实验结果表明该方法能改善原图像视觉效果，便于之后的图像分析。 (This paper mainly introduces the basic theory of genetic algorithm, genetic algorithm (ga) in the main application of image enhancement, the original image is more clear, characteristic becomes more obvious. Today about the image enhancement algorithm are many, and most of these algorithms is based on the degradation function or the knowledge of the point spread function of image processing. When the image appears fuzzy or noise influence, designed the image clarity of effect must not ideal, therefore it is necessary to enhance the image. Then, genetic algorithm is available to the mature and stable evolution of the global optimization algorithm, for image enhancement, due to less genetic algorithm control parameters, since the high fitness, will choose the method of image degradation, respectively, to manipulate the different motivation. It can enhance the image contrast, and overcome the traditional histogram equalization processing grayscale loss caused by the faults. Throug)

高斯有色噪声，有色噪声的谱估计及其在雷达中的应用(gauss noise)

用于实现高密度人群聚合检测 包含：边缘检测、灰度共生矩阵计算、SVM特征分量的分类(For achieving high-density population polymerization detector comprises: edge detection, gray level co-occurrence matrix calculation, classification SVM characteristic component)

图像重建算法当中的FDK、ART和TV算法，以及算法评估的SSIM和MSE的评估代码(FDK, ART and TV algorithms in image reconstruction algorithms, and the evaluation codes of SSM and MSE for algorithm evaluation)

织唛的缺陷检测，主要是运用surf算法进行检测。(Label defect detection)

说明：  利用K均值聚类对图像lena进行分割，图片可根据需求进行更换。(Image Lena is segmented by k-means clustering, and the image can be replaced according to the demand.)

基于小波变换的图像融合程序，低频采用加权平均，高频采用能量最大准则。(Based on wavelet transform image fusion program, low-weighted average, using high-frequency energy is the biggest criteria.)