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What does digital image processing learn?
Learning content of digital image processing: introduction, image, image system and vision system, orthogonal transformation in image processing, image enhancement, image coding, image restoration, image reconstruction, image analysis, mathematical morphology principle, theory and method of pattern recognition.

1, digital image

Digital image, also known as digital image or digital image, is a two-dimensional image represented by a limited number of digital numerical pixels. A digital image is an image obtained by digitizing an analog image, which is based on pixels and can be stored and processed by a digital computer or a digital circuit.

2. Digital image processing includes content.

Digital image; Image transformation; Image enhancement; Image restoration; Image compression coding; Image segmentation; Image analysis and description; Recognition and classification of images.

3. The digital image processing system includes the following parts

Input (get); Storage; Output (display); Communication; Image processing and analysis.

4. Steps from "Analog Image" to "Digital Image"

Acquisition of image information; Storage of image information; Image information processing; Transmission of image information; Output and display of image information.

5. What factors are related to the amount of digital image data?

Image resolution; Sampling rate; Sample value.

6. The process of image digitization and its influence.

Process: sampling; Quantify.

Impact: Sampling is to transform spatially continuous images into discrete points. The higher the sampling frequency, the more realistic the restored image is. Quantization is to convert sampled pixels into discrete quantized values. The number of different gray values in a digital image is called gray level. The larger the series, the clearer the image.