Abstract
A novel algorithm is presented for detecting a target placed in background and degraded by non-uniform illumination and additive noise. The algorithm includes two steps. First, the input scene is preprocessed with estimated illumination function. Then the processed scene is correlated with a designed optimum filter based on Wiener filtering. Simulation results show effectiveness of the proposed method in terms of the robustness to non-uniform illumination and noisy conditions.
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