By Giovanni Sicuranza, Sanjit Mitra
ISBN-10: 0125004516
ISBN-13: 9780125004510
This cutting-edge booklet bargains with an important points of non-linear imaging demanding situations. the necessity for engineering and mathematical tools is vital for outlining non-linear results interested in such components as computing device imaginative and prescient, optical imaging, desktop trend reputation, and business automation demanding situations. * provides the newest advancements in a number of clear out layout strategies and algorithms* comprises crucial details for improvement of Human imaginative and prescient structures (HVS)* presents foundations for electronic imaging and snapshot catch expertise
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Additional resources for Nonlinear Image Processing (Communications, Networking and Multimedia)
Example text
N . A convergence analysis is not available for the fast LMA WM adaptive algorithm and therefore exact bounds on the step size g are not available. In practice, a reliable guideline for this algorithm is to select a step size of the same order as that required for the standard LMS algorithm. It can then be further tuned according to the user's requirements and by evaluating the response given by the initial step size choice. 3 Recursive Weighted Median Filters It is natural now to extend the weighted median filters to other more general signal processing structures.
The underlined sum value indicates that this is the first sum that meets or exceeds the threshold. 44 GONZALO R. ARCE AND JOSE L. PAREDES Stability of Recursive WM Filters. One of the main problems in the design of linear IIR filters is the stability under the bounded-input bounded-output (BIBO) criterion, which establishes certain constraints on the feedback filter coefficient values. To guarantee the BIBO stability of a linear IIR filter, the poles of its transfer function must lie within the unit circle in the complex plane [Mit00].
Patt. AnaL Machine Intell. 9(1), 74-90 (January 1987). [Pel99a] S. Peltonen, P. Kuosmanen, and J. Astola. Output distributional influence function. In Proc. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Vol. 1, pp. 33-37 (Antalya, Turkey, June 1999). [Pel99b] S. Peltonen and P. Kuosmanen. ODIF for weighted median filters. In Proc. 6th IEEE Int. Conf. on Electronics, Circuits and Systems, pp. 245-248 (Pafos, Cyprus, Sept. 1999). [Pet94] D. Petrescu, I. Tabus, and M. Gabbouj. Adaptive skeletonization using multistage boolean and stack filtering, In Proc.