Joint spatial/spatial-frequency representation
Signal Processing
Removing Noise and Preserving Details with Relaxed Median Filters
Journal of Mathematical Imaging and Vision
A measure of some time-frequency distributions concentration
Signal Processing - Special section on digital signal processing for multimedia communications and services
Positive time-frequency distributions via maximum entropy deconvolution of the evolutionary spectrum
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Renyi information and signal-dependent optimal kernel design
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Speckle reducing anisotropic diffusion
IEEE Transactions on Image Processing
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Quality enhancement of radar images is highly related to speckle noise reduction. There are plenty of such techniques that have been developed by different authors. However, a definitive method has not been already attained. Filtering methods are popular to reduce speckle noise. This paper introduces a new method based on filtering a smoothed local pseudo-Wigner distribution using a local Rényi entropy measure. Results are compared to other well-known noise reduction filtering methods for artificially degraded speckle images and real world image examples. Experimental results confirm that this method outperforms other classical speckle denoising methods.