Learning Digital Image Processing _ 1

After finishing the data structure content, go to the library to view the digital image processing content. The teaching materials are mainly composed of "Digital Image Processing (Third edition)" and "Digital Image Processing (MATLAB edition)" compiled by Gonzalez. In the early stage, we looked at the latter. The latter was thin and focused on introducing various image processing functions and programming in MATLAB. The principle was less detailed. In the first four chapters, we could understand the program, in this chapter, the basic knowledge of image restoration is hard to see, so I bought the first book of pure theory online. In the early stage, we will focus on the basic knowledge. Matlab programming itself is not very difficult, mainly to understand the algorithm principle, although most of the algorithm MATLAB has been compiled in the map toolbox. So start tomorrow. The following content has been learned so far:

1. brightness Transformation (contrast stretching, histogram balancing, etc.) and Matlab programming

2. Spatial Filtering (linear and nonlinear spatial filtering) and programming implementation

3. frequency-domain processing (acquisition of frequency-domain filters, application of low-pass high-pass filters in image processing) and programming implementation

4. Image Restoration (spatial noise, periodic model, spatial filter restoration, adaptive spatial filter, degradation function modeling ...)

Learning Digital Image Processing _ 1