Performance evaluation of CCD imaging systems with the square integral method based on MRC

Jihui Wang; Weiqi Jin; Yuqing He; Lingxue Wang

doi:10.1117/12.790744

3 March 2008 Performance evaluation of CCD imaging systems with the square integral method based on MRC

Jihui Wang, Weiqi Jin, Yuqing He, Lingxue Wang

Proceedings Volume 6621, International Symposium on Photoelectronic Detection and Imaging 2007: Photoelectronic Imaging and Detection; 66210V (2008) https://doi.org/10.1117/12.790744
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

The Square Integral Method based on the Minimum Resolvable Contrast (MRC) is to be introduced in this paper as an evolution for the design and evaluation of optoelectronic imaging systems. It is well known that there exists an optimal angle magnification which can make optoelectronic imaging systems and human eye matching optimally, so that optoelectronic imaging systems can performance best. Based on MRC (Minimum Resolvable Contrast) and channel width, a new method called Square Integral (SQI) method was presented for evaluating the general performance of a CCD imaging system, and attaining the optimal angle magnification or optimal viewing distance. Results calculated with this method are in good agreement with the experimental measurements. From the agreement between the practical use and the theoretical predictions for the variation of CCD size, optical focus, luminance and human vision, it demonstrates that the SQI method is an excellent universal measure for the optimal angle magnification and the performance of CCD imaging systems.

Citation Download Citation

Jihui Wang, Weiqi Jin, Yuqing He, and Lingxue Wang "Performance evaluation of CCD imaging systems with the square integral method based on MRC", Proc. SPIE 6621, International Symposium on Photoelectronic Detection and Imaging 2007: Photoelectronic Imaging and Detection, 66210V (3 March 2008); https://doi.org/10.1117/12.790744

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