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Dissertation - FTP Directory Listing - University of Surrey

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When h/ ≫ this equation reduces toσ1( ) 2SHOTPI= PI(2.13)In terms <strong>of</strong> signal electrons (S), that are just the product <strong>of</strong> interacting photons and number <strong>of</strong>electrons generated per photon interaction, for visible light this equation becomes:σ SHOT( S)= S12(2.14)Signal shot noise therefore increases by the square root <strong>of</strong> signal and is described by the classicalPoisson probability distribution.2.5.3. Fixed pattern noiseThere are several types <strong>of</strong> fixed pattern noise (FPN) but they are all due to non uniformities in thepixel components created during manufacture. This creates spatially fixed noise hence FPN. Bytaking the difference <strong>of</strong> two images at the same illumination the FPN can be removed giving a shotnoise limited image. The different types <strong>of</strong> FPN are <strong>of</strong>fset FPN independent <strong>of</strong> illumination and gainFPN that does depend on illumination. FPN is defined by the equation:σ FPN= P NS(2.15)Where:P N is the FPN quality factorAs FPN increases proportionally with signal and shot noise increases only with the square root <strong>of</strong>signal, FPN is the dominant form <strong>of</strong> noise for the majority <strong>of</strong> a sensors dynamic range. The nextsection shows how noise can be used to determine the performance parameters <strong>of</strong> a sensor.2.5.4. Noise reduction: Correlated Double SamplingOne <strong>of</strong> the main sources <strong>of</strong> noise is KTC noise or reset noise, this is caused by random fluctuations involtages sampled across capacitors in the sensor. This causes pixels to be being reset to slightlydifferent levels artificially increasing or decreasing the signal <strong>of</strong> pixels relative to each other. It24

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