A test method of CMOS image sensors in dark field based on the genetic algorithm

Autor: Mingchao Chang, Shan Cong, Qiang Wen, Dayu Zhang
Rok vydání: 2019
Předmět:
Zdroj: 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging.
DOI: 10.1117/12.2512317
Popis: A new kind of CMOS image sensor test method, which is different from test standards EMVA1288 and ESCC 25000, is proposed in this paper based on photo transfer theory by using the rough adaptive genetic algorithm (RAGA). This test method can measure both system gain and dark signal together by utilizing dark field grey value only in dark field. In this way the complexity of test is reduced, and high and low temperature tests and dynamic burn-in test become easy to be carried out. Without light field exposure, the stability and reliability of dark signal testing are improved in certain extent. The experiment result shows that, this new test method is available and dependable. It reduces the complexity of test equipment and environment, simplifies test flow, shortens test duration, and decreases test cost.
Databáze: OpenAIRE