Image Quality Benchmarking – Unravelled
Image quality assessment (IQA) plays a crucial role in various vision-based applications. IQ benchmarking ensures that the respective applications get the maximum quality from the cameras. In critical applications like automotive, the safety of the driver depends on decisions made by Machine Learning (ML) algorithms based on the image from cameras. “Are these cameras quality enough for the application?” “Can human lives be trusted upon these cameras?” The answers lie with image quality benchmarking.
This whitepaper provides insights on:
- Types of image quality assessment methods
- The importance of assessing the quality of an image.
- Different image quality factors and the objective measurement of those metrics