ICAforImage

国内权威大家写的信号检测理论,主要讲述了信号理论和估计。(the book is literally book for signal processing,it was use for master students who want to learning signal detect and estimate)

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.)

对图像（Bmp）的智能读入界面设计，源代码(Read image (BMP), intelligent interface design, source code)

基于非负矩阵分解理论，实现多源的图像融合(Based on non-negative matrix decomposition theory, to achieve image fusion of multi-source)

C++语言实现的LSB数字水印算法，Visual C++亲测可用。(C++ language LSB digital watermarking algorithm, the Visual C++ pro-measurement available.)

利用VC进行图像的频域滤波处理，内含源代码(VC image using the frequency domain filtering treatment, including source code)

Matlab图像处理,包含图像平滑、锐化等 图像平滑处理包含均值滤波和中值滤波 图像锐化处理包含拉普拉斯算子和Roberts算子、Prewitt算子和Sobel算子(Matlab image processing, including image smoothing, sharpening and other image smoothing with the mean filter and median filtering image sharpening with the Laplace operator and the Roberts operator, Prewitt operator and Sobel operator)

说明：  多阈值的OTSU算法，用于对图像的分割。matlab语言编写。(Otsu algorithm with multiple thresholds for image segmentation)

将彩色图像灰度化，使在处理过程中数据处理简单化(gray color image, so that in the course of handling the data processing simplistic)

asift算法进行图像配准，具有较好的结果，调试完成，可用(image registration, asift algorithm has a better result, debugging is complete, the available)