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VV6501 Fiches technique(PDF) 49 Page - STMicroelectronics |
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VV6501 Fiches technique(HTML) 49 Page - STMicroelectronics |
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49 / 60 page ![]() 49/60 VV6501 Optical Characteristics Sensor SNR The SNR measurement given here is based on the temporal noise. The SNR is calculated as the pixel saturation voltage divided by the temporal noise at that saturation level. The optical setup is the same as for the measurement of average sensitivity. The sensor gain, G, is set to x1. The SNR figure is then calculated as: . Fixed Pattern Noise (FPN) The FPN of an image sensor is the average pixel non-temporal noise divided by the average pixel voltage. The illumination source is the same as for the average sensitivity measurement. The FPN is calculated at coarse exposure settings of 0,10,150,250 and 302 with a gain set to 1. 10 frames are grabbed and averaged to produce a temporally independent frame before each calculation. FPN is expressed in mV. Vertical Fixed Pattern Noise (VFPN) VFPN describes the spatial noise in an image sensor related to patterns with a vertical orientation. The VFPN is defined as the standard deviation over all columns of the average pixel voltage for each column determined at zero exposure and zero illumination. VFPN is expressed in mV. Shading Shading describes how average pixel values per “block” change across the image sensor array. For fine shading calculations, the image sensor array is split into 30 pixel by 30 pixel blocks. An average value is then calculated for each block, averages are then compared across the whole device. The blocks are increased in size to 60 pixels by 60 pixels for the gross shading calculation. Shading is expressed in mV. 7.2 Optical characterisation results Table 24: Optical characterization Optical parameter Red Green Blue Unit Average sensitivity - 2.05 - V/lux.s Dark signal - 9.0 - mV/s Temporal noise - 2.12 - mV Dynamic Range - 54 - dB SNR - 41 - dB Fixed Pattern Noise - 1.13 - mV Vertical fixed pattern noise - 0.68 - mV Shading (Gross) 1.1 1.3 1.0 % 20 GVsat ⋅ σsignal -------------------- ÿþ log ⋅ |
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