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This paper proposes a discrete-time learning algorithm for fast image restoration using a novel L2-norm noise constrained estimation. The noise constrained estimation approach can relax the need of the optimal regularization parameter to be estimated. Performance analysis shows that the proposed algorithm can converge globally to a robust optimal weight vector. Compared with the cooperative neural...
The color night-vision technology is advantageous to scene interpretation by displaying original monochrome night-vision imagery with colors, leading the future trend of night-vision development. Until recently, the methods of color night-vision are mostly based on multi-band sensor fusion that do not apply to thermal systems which are only sensitive to one spectral band. To address this, we present...
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