Digital_Image_Processing_Third_Edition 英文原版 数字图象处理方面教材

IVHC（快速图像噪声估计） 这是在Python和Matlab上的实现。 另请参阅 。 IVHC是一个模型，用于估计图像和视频信号中的高斯噪声，与信号有关的噪声和经过处理的噪声。 该估计基于图像斑块的强度变化的分类，以便找到最能代表噪声的均匀区域。 这是强度方差均匀性分类（IVHC）噪声估计的框图。 输入： 嘈杂的灰色图像 最大多项式回归度 输出： Y通道中的噪声方差（最佳代表） 处理噪声的程度 噪音等级功能 该存储库包括： Matlab和IVHC的Python实现。 Matlab演示文件可估算AWGN，处理后的噪声以及与信号有关的噪声。 Python演示文件可估算AWG

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1 Copyright ©2005 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

经典的processing进阶书籍代码本色 ， Daniel Shiffman是我的偶像哈哈

This book is on the basic foundations of digital still cameras, the image sensor and the techniques used in processing the image coming from the sensor. It includes both the theory and the concepts of both the hardware being used and the software that ties everything together to make a useful system. This field is one that is rapidly changing. As a result Dr. Nakamura has gotten a group of people from various companies to write chapters on their own area of expertise. The companies by whom these contributors are employed is a who's who of the digital camera field including: Konica Minolta, Canon, Olympus, Fuji and various specialized companies that work in this area. Dr. Nakamura is employed by Micron, a major semi-conductor company. This is not a book on how to take pictures, this is a book on what happens underneath when you press the button. It is highly technical, designed for engineers.

natural language processing with python最新版本，python3,NLTK3，注意是英文版本，每个章节都是分开的，介意的话，别下载

Processing官方版是一款页面简洁，功能丰富，适用范围广泛，编译操作方便，操作逻辑简单易上手的专业编程设计软件，Processing官方版软件提供了一个所见所得的编辑界面，用户直接进行编辑，在编辑之前，用户可以调整编辑器和控制台字体、编辑器字体大小、不断检查错误、显示警告、启用复杂字体输入等编辑参数!

Fundamentals of Statistical Signal Processing Estimation Theory Steven M. Kay

数字图像处理英文版Digital Image Processing Using Matlab.pdf

Many of the sections and examples were rewritten for clarity. We added a new section dealing with random numbers and probability, with an emphasis on their application to image processing. We included 12 new examples, 31 new images, 22 new drawings, 32 new exercises, and 10 new MATLAB projects.