Detection of binary images in noise
Abstract
Detection of binary images in noise is considered in the light of statistical detection theory, with particular reference to information storage systems. The different disturbances are classified into system noise and transparency noise. The receiver operating characteristics (ROC) have been obtained when the scanned binary image is corrupted by additive white Gaussian noise and multiplicative speckle. It is shown that improvement in ROC with signal-to-noise ratio (SNR) is less pronounced in the presence of speckle.
- Publication:
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Optical and Quantum Electronics
- Pub Date:
- March 1979
- Bibcode:
- 1979OptQE..11..133S
- Keywords:
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- Binary Data;
- Image Processing;
- Signal Detection;
- Signal To Noise Ratios;
- Information Theory;
- Optical Data Processing;
- Statistical Decision Theory;
- Instrumentation and Photography