The Camera Benchmarking Process
Jonathan B. Phillips, Henrik Eliasson · 2017
The first step to building a camera benchmark is to determine the key image quality attributes to be measured and then to establish a method to weight and combine them to obtain a global scale so that one can benchmark all cameras against each other. In Chapter 9, we show how a benchmark would combine subjective and objective image quality attributes and how some can substitute some others when correlation is established. We describe the ideal benchmark and will show that, given the intrinsic subjectiveness of image quality, there can't be just only one solution. A number of camera benchmark examples are provided and we point to the ones that are the most advanced. Also detailed is the possible evolution to move even closer to the ideal benchmark and highlight the technologies that remain to be developed to achieve this goal.