학술논문

Method for Evaluation of Linearity of Image Sensors in High Dynamic Range Mode
Document Type
Periodical
Source
IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 23(11):11582-11590 Jun, 2023
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Image sensors
Linearity
Sensors
Signal to noise ratio
Image color analysis
Cameras
Photonics
Automotive imaging
color artifacts
electronic imaging
high dynamic range (HDR)
image sensor
linearity
signal-to-noise ratio (SNR)
Language
ISSN
1530-437X
1558-1748
2379-9153
Abstract
Image sensors in cameras that are used for outdoor imaging, such as for automotive applications, are typically operated in the high dynamic range (HDR) mode. Photo-response linearity is a key performance indicator of image sensors. Existing procedures for the evaluation of image sensor linearity are based on exposure variation. They are efficient when image sensors are operated in the basic mode, which has a limited dynamic range (DR), however, they are difficult or impractical to implement with image sensors in the HDR mode. This work presents a method to evaluate the linearity of image sensors in the HDR mode. The method uses an indirect approach, which is based on the relative response between color channels in color cameras. It is independent of the HDR mechanism and the actual photo-response ratios between color channels; it can be applied to monochrome cameras with attenuation filters. We demonstrate the method with a camera module that includes a color image sensor that is activated in the HDR mode with the recommended configuration file and with a file that was modified to produce a nonlinear HDR response. Raw image data were collected with test targets in a controlled laboratory environment and outdoors in a representative HDR scene. The data were used to calculate signal and noise properties to construct the signal-to-noise ratio and relative channel response curves and to evaluate color properties. Analysis of the relative response curves shows that the proposed method is highly sensitive to deviation from linearity and that it correlates well with color artifacts.