Paper
24 January 2012 Sensor defect probability estimation and yield
Author Affiliations +
Proceedings Volume 8299, Digital Photography VIII; 829903 (2012) https://doi.org/10.1117/12.912142
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
Sensor yield is directly related to the probability of defective pixel occurrence and the screening criteria. Assuming a spatially independent distribution of single pixel defects, effective on-the-fly correction of singlepixel defects in a color plane, and effective correction of two-pixel defects in a color plane (couplets) through a defect map, sensor yield can be computed based on the occurrence of three adjacent defective pixels in a color plane (triplets). Closed-form equations are derived for calculating the probability of occurrence of couplets and triplets as a function of the probability of a single pixel being defective. If a maximum of one triplet is allowed in a 5-megapixel sensor, to obtain a 98% yield, the probability of a pixel being defective (p) must not exceed 1.3E-3 (6500 defective pixels). For an 8-megapixel sensor, the corresponding requirement would be p < 1.1E-3 (8900 defective pixels). Numerical simulation experiments have confirmed the accuracy of the derived equations.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Honghong Peng and Brian Keelan "Sensor defect probability estimation and yield", Proc. SPIE 8299, Digital Photography VIII, 829903 (24 January 2012); https://doi.org/10.1117/12.912142
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KEYWORDS
Sensors

Numerical simulations

Image quality

Defect detection

Detection and tracking algorithms

Digital photography

Electronic imaging

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