【24h】

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

机译:基于遗传算法的CMOS图像传感器暗场测试方法

获取原文

摘要

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). Thistest 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 easyto be carried out. Without light field exposure, the stability and reliability of dark signal testing are improved in certainextent. The experiment result shows that, this new test method is available and dependable. It reduces the complexity oftest equipment and environment, simplifies test flow, shortens test duration, and decreases test cost.
机译:一种不同于测试标准EMVA1288和ESCC 25000的新型CMOS图像传感器测试方法, 本文基于粗糙面自适应遗传算法(RAGA),基于照片转移理论提出了一种基于图像的方法。这 该测试方法可以仅在暗场中利用暗场灰度值来同时测量系统增益和暗信号。 这样,降低了测试的复杂性,并且使高低温测试和动态老化测试变得容易 要进行。在没有光场暴露的情况下,暗信号测试的稳定性和可靠性在一定程度上得到了提高 程度。实验结果表明,该新的测试方法是可行且可靠的。它降低了复杂性 测试设备和环境,简化了测试流程,缩短了测试时间,并降低了测试成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号