Image processing vs Computer vision?

Summary. Image processing algorithms transform images in many ways, such as sharpening, smoothing, filtering, enhancing, restoration, blurring and so on. Computer vision, on the other hand, focuses on making sense of what the machines see.

1. What is the difference between image processing and computer vision?
2. Is image processing necessary for computer vision?

What is the difference between image processing and computer vision?

Computer vision is focused on extracting information from the input images or videos to have a proper understanding of them to predict the visual input like human brain. Image processing uses methods like Anisotropic diffusion, Hidden Markov models, Independent component analysis, Different Filtering etc.

Is image processing necessary for computer vision?

Self-driving cars, biometrics and facial recognition all rely on computer vision to work. At the core of computer vision is image processing.