  Full DNN-based image signal processors (ISPs) have been actively studied and
have achieved superior image quality compared to conventional ISPs. In contrast
to this trend, we propose a lightweight ISP that consists of simple
conventional ISP functions but achieves high image quality by increasing
expressiveness. Specifically, instead of tuning the parameters of the ISP, we
propose to control them dynamically for each environment and even locally. As a
result, state-of-the-art accuracy is achieved on various datasets, including
other tasks like tone mapping and image enhancement, even though ours is
lighter than DNN-based ISPs. Additionally, our method can process different
image sensors with a single ISP through dynamic control, whereas conventional
methods require training for each sensor.
