Detection thresholds of structured noise in the presence of shot noise
| Autor: | Robin B. Jenkin, Alexander Dokoutchaev, Brian Keelan, Feng Li |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Masking (art)
Noise power Computer science Acoustics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Noise figure Noise (electronics) Spectral line symbols.namesake Noise generator Dark-frame subtraction Optical transfer function Image noise Detection theory Computer vision Value noise Noise temperature Noise measurement business.industry Noise spectral density Fixed-pattern noise Quantum noise Shot noise Salt-and-pepper noise Noise floor Gradient noise Colors of noise Gaussian noise symbols Artificial intelligence business |
| Zdroj: | Digital Photography |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.909588 |
| Popis: | An observer study was run to determine the detection thresholds of several representative examples of column fixed pattern noise, in the presence of varying levels of shot noise, which is known to mask structured noise. The data obtained were fit well at relevant shot noise levels by a simple model based on signal detection theory. Individual metrics of fixed pattern noise and shot noise, used in the masking equation, were computed from one dimensional integrations involving the capture noise power spectra (mapped to CIELAB space); the modulation transfer function of the display; the display pixel pitch; the viewing distance; and the S-CIELAB luminance contrast sensitivity function. The results of this work can be used to predict detection thresholds that can be added to photon transfer curves for the purpose of determining whether fixed pattern noise will be visible. |
| Databáze: | OpenAIRE |
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