Working of Digital Image Processing
The working principle of Digital Image Processing is based on I-P-O cycle where takes input, process and then release output. Here, digital image acts as an input and after processing, it will become the desired image we want acts as an output. Lets take an example to elaborate the working of Digital Image Processing.
If we take a snap from a camera or mobile, and send that snap to digital system so that it can remove all the irrelevant part of that image and can just enhance the part we want. Like, a snap contains a view of a village and we want to just focus on 3rd cottage, then digital system will just focuses on that only by zooming it and the quality will not get compromised.
Digital Image Processing Tutorial
In this tutorial, we will learn all about Digital Image Processing or DIP which is a subcategory of signal processing that particularly deals with the manipulation of digital images by using a digital computer. It is based on the principle of the I-P-O cycle, where it will take a digital image as an input and process it to get an image as an output.
This free DIP tutorial is designed from basics to advanced level so anyone, from beginners to professionals can easily get all the details of digital image processing. This tutorial includes all the modules like basics, MATLAB GUI, Image conversion, image filtering techniques, histogram equalization, object identification, edge detection in MATLAB, Image extensions, MATLAB built-in functions, array functions, etc.
Table of Content
- What is Digital Image Processing (DIP)?
- Working of Digital Image Processing
- Introduction to DIP (Digital Image Processing)
- Image Conversion
- Image Filtering Techniques
- Histogram Equalization
- Object Identification and Edge Detection
- PhotoShop Effects in MATLAB
- Image Geometry, Optical Illusion and Image Transformation
- Morphological Image Processing, Compression and Files
- Image Transformation
- Image Coding, Comparison and Texture Features
- Difference Between