Measurement of Minimum Resolvable Contrast Based on BP Neural Network

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Enterprise Software
Format: PDF
Aiming at the MTF (Modulation Transfer Function) evaluation limitations in visible imaging system, this paper introduces the minimum resolvable contrast. On the basis of MRC theoretical, the paper obtains subjective and objective methods of MRC measurement. Then MRC measurement based on neural network is put forward, which does not depend on subjective judgment of person. BP (Back Propagation) neural network is established and trained. Therefore, the network can replace human eyes to judge test patterns with different spatial frequencies and contrasts.

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