Automatic Exposure with Fuzzy Control

In this thesis, we will present an automatic exposure method based on Nikon’s AMP (Automatic-Multiple-Pattern). Our method will add the fuzzy control into the AMP to get smooth transition effect.
AMP needs to collect a lot of information for its database to offer optimal exposures for various conditions. In other words, the database is very huge and needs to cover all conditions, include weather conditions, contrast conditions, subject condition (subject is bright or dark) and so forth. We use fuzzy control to simulate the various conditions. It means we only construct three main frame reference tables, fuzzy control will simulate the ambiguous conditions (conditions not included in the reference table) to get a smooth transition effect. In this thesis, we also implement a subject growing function for dynamically guess where subject is. Our method classifies subject and background to get a better exposure. We also implement an easy evaluative function to estimate what is a well exposed picture in the same scene with different exposure parameters. The experiment results show that our evaluative function selects the best exposed picture similar to most people’s selection.