In this paper, a method to enhance the fingerprint image by using Log-Gabor filters is proposed. Firstly, a filter for
extracting fingerprint image texture feature is designed. Then, the high frequency components of fingerprint image are
extracted by filtering. Finally, the fingerprint image details can be improved by enhancing high frequency components.
Experimental results show that the proposed algorithm can effectively improve the quality of fingerprint image and the
reliability of fingerprint identification.
This paper proposes a novel image enhancement algorithm based on contrast pyramid, which adjusts coefficient value in individual level of contrast pyramid to change contrast of local image, then some detail or character will be promoted. Numerical experiments show that the method can get fairly well result with lower computation complexity.
This paper examines moving targets detection using single channel Synthetic aperture radar (SAR) in spaceborne
platform. Building on previous work moving targets can be retrieved from multi-look images via magnitude subtraction
or phase interferometry. A more effective method is proposed which mainly consists of signal subspace processing-
based data equilibrium and change detection in multi-look covariance matrix. Also different baseline is checked and
weak targets may be found. Test results show that precise calibration of multi-look images are essential and short
baseline is preferred when the interesting targets are weak. Therefore, the proposed method leads to improved detection
performance and provides ways of GMTI in single channel SAR.