Bisection and Shift Camera Parameters Tuning for Stabilizing Image Acquisition

摘要

Ever-changing shooting conditions, such as altered ambient lighting, visual angle and live scene, impact image quality remarkably. Tuning camera parameters may relieve unwanted impacts to some extent, but generally the tuning is a trial and error process, which is boring and time-consuming, especially when being carried out manually, due to the numerous possible value and combination of many different parameters therein. In this paper, we propose a human-simulated camera parameters tuning method called Bisection and Shift Camera Parameters Tuning (BSCPT), which keeps tracking varied shooting conditions and implements a smart and swift parameters tuning for digital cameras so as to make the image quality as stable as possible. The experiments show that BSCPT remedies adverse conditions effectively, reaching optimal parameters setting in real-time image acquisition.