envi_split_to_multiple_single_band_files

计算交通格子模型的能量耗散和污染排放，包括 一氧化碳，一氧化氮，和其他污染物的排放，并在一图表中进行比较(Traffic grid calculation model of energy dissipation and pollution emissions, including carbon monoxide, nitrogen oxides, and other pollutants, and comparing in a chart)

用于图像检测的正态分布计算的c代码实现，现在将这个函数写在头文件中了(Normally distributed computing for image detection of the c code, this function will now be written in the header file in the)

一个作业,用matlab实现指纹识别，做得不好，惭愧(an operation using Matlab achieve fingerprint identification, is not done properly ashamed)

Jsteg隐写算法[23][24]由D. Upham提出，该算法将秘密信息嵌入在量化后的DCT系数的LSB上，但值为-1、0、+1的DCT系数例外。提取秘密信息时，也只是将隐藏信息的图像中不等于-1、0、+1的量化DCT系数的LSB取出即可(steganography of jsteg)

小波图像去噪，全局阈值法，是多阈值小波去噪中两大部分：全局阈值法玉局部阈值法的重要组成部分。(Wavelet denoising, the global threshold method, the multi-threshold wavelet de-noising of two parts: the global threshold method jade local threshold an important part of the law.)

利用有限差分和MATLAB矩阵运算直接求解二维泊松方程(Directly solving the 2D Poisson equation using finite difference and MATLAB matrix operations)

fcm医学图像分割算法，适应于不规则医学图像的分割，已经调试成功，可以运行，很好。相信会对您有帮助。(fcm medical image segmentation algorithm, adapted to irregular medical image segmentation, has been successful debugging, you can run, very good. Believe will help you.)

第二代Curvelet变换及其在图像融合中的应用研究，第二代Curvelet较第一代有更好的发展前景(Second-generation Curvelet Transform and Its Application in Image Fusion of applied research, the second-generation Curvelet better than the first generation of the development prospects of)

一个运动估计运算的MATLAB文件，本人已经测试过，非常有用。(A motion estimation MATLAB file operations, I have been tested, very useful.)

说明：  （1）图像基本操作：不同格式（大于3种）图像的读入与存盘、文字叠加、不同彩色空间的转换、图像的DCT及FFT变换等； （2）图像增强：包括直方图拉升（线性和非线性）、直方图均衡、平滑与锐化（采用不同的滤镜），美颜（加分项）； （3）图像恢复：几何操作（如旋转、缩放、投影校正等）、模糊恢复（如运动模糊消除等，加分项）； （4）图像合成（加分项）：实现换头、换背景、图像拼接等功能。((1) Basic operation of image: reading and saving of images in different formats (more than 3 kinds), text superposition, conversion of different color spaces, DCT and FFT transformation of images, etc; (2) Image enhancement: including histogram lifting (linear and non-linear), histogram equalization, smoothing and sharpening (using different filters), beauty (bonus item); (3) Image restoration: geometric operations (such as rotation, scaling, projection correction, etc.), blur restoration (such as motion blur elimination, etc., plus points); (4) Image synthesis (Bonus): realize the functions of head changing, background changing, image splicing, etc.)