An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects.
Many imaging systems produce measurements that humans never see or cannot interpret directly. Your smartphone processes raw sensor data through algorithms before pr...
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The article presents a novel approach for evaluating and optimizing imaging systems based on their information content. By using mutual information to quantify the usefulness of measurements from noisy images, regardless of how they appear to humans, this method unifies traditionally separate quality metrics and offers advantages over conventional methods. The researchers demonstrate the predictive power of their method across various imaging domains and introduce IDEAL, ...