cal_mosaic

可以Raw格式图片(you can open raw file with the .m code.)

说明：  频域图像增强，包含了多个实例，MATLAB环境下调试通过。(image enhancement in frequency domain)

Viola-Jones 算法的人脸检测程序，附带检测图片(for detection using Viola-Jones Algorithm. To save Cropped Picture you need to change the folder location.)

现有自然图像素描画效果生成算法存在容易造成画面细节丢失，笔画线条单一等问题。针对这些问题，本文提出了一种改进的自然图像素描画效果生成算法，通过模拟艺术家创作素描画过程，分步生成素描画图像底纹和素描画场景笔画轮廓，采用8个方向卷积滤波提取图像中不同方向的细节信息，并使用不同长度不同粗细的笔画来模拟艺术家在创作过程中不同力度的绘画效果，最后合并素描画笔画效果和素描画图像底纹，得到与原输入自然图像内容一致，色调与艺术家绘制的素描画效果相同，笔画和底纹形式与实际素描画相似，真实感较强的素描画效果输出图像。大量实验结果表明本文方法可以生成高质量的自然图像素描画效果，与现有成熟的铅笔画生成技术相笔，本文方法具有较强的可比性。(The existing algorithms for natural image sketch production are easy to cause some problems such as the loss of image details, singleness of the stroke line. To solve these problems, this paper proposes an improved algorithm for the natural image sketch effect producing. By simulating the artist creation process of sketch, step-by-step generate image shading sketch image shading and drawing the scene outline stroke of the sketch image, using 8 directions of convolution filter to extract the details of different directions in the image, furthermore, using the stroke of different length and thickness to simulate the painting effect of different strength in the process of artist creation, finally we merge the sketch stroke effect and sketch image background to get the output image, which have consistent content with the original input image, have the same tonal effect with artists draw sketch, have the similar Stroke and background form with the actual sketch and have strong real sense in)

6自适应波段选择高光谱图像融合使用互信息。国际会议信息融合2005 _guo_fusion_a(6 Adaptive band selection for hyperspectral image fusion using mutual information . International Conference on Information Fusion 2005_guo_fusion_a)

说明：  基于MP的信号稀疏分解参考程序。源程序是《信号与图像的稀疏分解及初级应用》中的(MP sparse decomposition based on the signal reference program. Source is &quot Signal and image sparse decomposition and primary application&quot in the)

这是一个去背景并且进行阈值分割的程序，阈值的选择采用迭代法(This is the background to a threshold value and segmentation procedures, the threshold value of the options using the iterative method)

超分辨率复原（分块处理） 将样本库中的高分辨率图象和低分辨率图象分别做分块处理，当新输入一幅低分辨率图象时，分成小块到样本库中寻找最匹配的高分辨率块，然后复原出高分辨率图象。(Superresolution recovery (block processing) for a sample of high-resolution images and low-resolution images respectively block , when the new importation of a low-resolution image, divided into small samples to find the most matching high-resolution block, then recovery from high-resolution images.)

说明：  实现超级像素的图像分割程序源代码，代码很全面(The realization of super-pixel image segmentation source code, code is very comprehensive)

课程作业，可视密码的matlab实现代码以及展示用ppt(Course work, visual cryptography matlab code and display ppt)