Encoding and decoding the Hilbert order
Software—Practice & Experience
Analysis of the Hilbert curve for representing two-dimensional space
Information Processing Letters
A Gray Image Compression Using a Hilbert Scan
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
Space-filling approach for fast window query on compressed images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
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The peak-and-valley filter has been shown to be a fast and efficient filter in suppressing impulsive noise. In order to find the best filtering route, we have tested several different kinds of scanning orders, such as zigzag scan, Hilbert curve, etc. The result of the tests shows the vertical scanning order is the best one. Next, we have incorporated a simple edge detection scheme into the peak-and-valley filter and then propose a new filter, called the cross-type peak-and-valley filter. Experimental results show that our filter with vertical filtering route outperforms the peak-and-valley filter proposed by Windyga.