Image processing learning process--website, video, books (long-term update)

Source: Internet
Author: User

Website:

Http://www.linuxgraphics.cn/home/index.html

Image processing programming related to the website, also talked about some basic knowledge. Features are relatively whole, about the graphics processing all aspects of knowledge are involved, but relatively superficial. This can be extended to delve deeper into an area.

http://pippin.gimp.org/image_processing/

Image processing bitmap and vector graphics related basic knowledge, English website, decided to translate in the form of a blog.

Video:

Http://v.163.com/special/opencourse/daishu.html

MIT linear Algebra Open Class. In-depth study of graphics processing must understand linear algebra-matrix-related operations. University took the relevant courses, at that time felt great difficulty, mainly the matrix to the time of their own is very abstract, and to work after opengl,android graphics and other graphic processing is not around this level, only to start the determination to review the relevant knowledge, found it is not so difficult, especially with digital image processing , the OpenGL view coordinate transformation is a very useful and interesting tool for connecting to the thought matrix. One of the benefits of college expertise is here, and it's easy to get a clear picture of what expertise needs to be applied in the relevant fields, even if it's not good at the time. This is also I think that the need to go to graduate school, the necessity of continuing to enter a higher field, you know that your horizons and more in-depth knowledge can be researched and applied.

https://class.coursera.org/

Duke University: Image and video processing: From Mars to hospital to Hollywood (2015/1/5)

Coursera course. For about 10 weeks, you need to take more than 6-10 hours a week to complete a video lesson, contact and discuss. has been followed by the second week, from the first week of the situation, the explanation of some of the image-related fundamentals and sampling quantification operations, relatively easy to understand, may not have entered the field of comparative professional.

Graphic processing in-depth research must be understood in the basic course:

Calculus

Probability theory

Stochastic process

Linear algebra

Signal processing: Fourier variation, convolution, time domain frequency domain transformation, etc.

Digital Image Processing

Books:

"Graphic image File Format Daquan"

The book, published in 1994, has been out of print and downloaded on the web in a scanned version of PDF. Books that describe image file formats, many of which are obsolete. But the first three chapters introduce basic theory of graphic image, codec and other basic theories, which can be used as introductory books.

Image processing learning process--website, video, books (long-term update)

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