Optimization of the ISP Parameters of a Camera Through Differential Evolution

Within the design and development of a smartphone, an important phase arises regarding time, which is related to the tuning of the ISP (image signal processor) of the camera. The ISP is an element that allows the adjustment of the images captured by a sensor in order to achieve the best image quality. The ISP implements different image improvement algorithms such as white balancing, denoising, and demosaicing as well as other image enhancement algorithms. The purpose of the ISP tuning process is to configure the parameters of these algorithms so that the processed images are of the highest quality. This task is carried out by the camera tuning engineer, who iteratively adjusts the ISP parameters through trial and error procedures until the desired quality is achieved. The complete adjustment process can be extended to several weeks and even months. The authors present a novel solution based on differential evolution, which allows a first-adjusted approximation of the ISP in a few hours. This work presents an architecture based on an optimization through a differential evolution algorithm with which different ISP tuning tests are carried out, and the good results in quality and time are verified.