A Novel Autofocus Measure Based on Weighted Walsh-Hadamard Transform

The autofocus measure plays an important role in passive digital imaging systems. However, most of the existing methods are more sensitive to the noise. In order to overcome this drawback, we proposed a novel autofocus measure based on the weighted Walsh-Hadamard transform. The effectiveness of the proposed method is verified with adopting the two sets of public real autofocus sequence, where the experimental results show that the proposed measure performs better than the state-of-the-art methods and has a strong anti-noise capability.