By Benjamín Dugnol, Carlos Fernández, Gonzalo Galiano, Julián Velasco (auth.), Ernesto Damiani, Kokou Yétongnon, Peter Schelkens, Albert Dipanda, Louis Legrand, Richard Chbeir (eds.)
ISBN-10: 0387724990
ISBN-13: 9780387724997
ISBN-10: 0387725008
ISBN-13: 9780387725000
Traditionally, sign processing options lay on the starting place of multimedia facts processing and research. long ago few years, a brand new wave of complicated signal-processing strategies has introduced fascinating effects, expanding system's services of successfully replacing snapshot facts and extracting beneficial knowledge.
Signal Processing for picture Enhancement and Multimedia Processing
is written by way of worldwide specialists who've prolonged the simplest papers awarded on the SITIS 2006 overseas convention to bankruptcy types. This edited e-book provides examine effects at the program of complicated sign processing innovations for making improvements to the worth of photo and video information. furthermore, this quantity contains discussions on feature-based recommendations for deep, feature-oriented research of pictures, plus new effects on video coding at the primary subject of securing snapshot information.Signal Processing for picture Enhancement and Multimedia Processing
is designed for a qualified viewers of practitioners and researchers in undefined. it's also appropriate as a reference or secondary textual content for advanced-level scholars in laptop technological know-how and engineering.
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Additional info for Signal Processing for Image Enhancement and Multimedia Processing
Example text
Therefore, the search for the threshold multiplier T can be summarized by the following algorithm. a) We assign a desired value of the Pf a and a given value of ρc . b) We assume an initial value of T . 25). 28). 29). d) If the value of the Pf a from step c) is equal to the desired value of the Pf a stop, otherwise go to step b). The above procedure requires the knowledge of ρc which, in general, is not available a priori. The value of ρc used in step a) is the estimated value of the correlation coefficient between pulse-to-pulse neighboring clutter samples [5].
Al Hussaini et al studied in [6] the detection performance of the CA-CFAR and OS-CFAR detectors considering a non conventional time diversity technique. Their schemes processed correlated clutter in the presence of interfering targets. In [7], El Mashade introduced the case where the use of the moving target indication (MTI) filter output introduces a correlated clutter even though if its input signal is uncorrelated. He analyzed the CA-CFAR family for the multiple target environments scenario. In summary, the work listed above did not show the effect of the pulseto-pulse partially Rayleigh correlated clutter on the analytical expression of the Pf a .
Fig. 5. Results of the 3 -means classification algorithm on a degraded document image Intuitively, other variants of the K -means clustering algorithm are employed to resolve this problem. In this study, we will focus on techniques based on the extension of K -means. For a complete sate-of-the-art ink bleed-through removal techniques, please refer to our previous work [2]. One variant based 22 Fadoua Drira, Frank Lebourgois, Hubert Emptoz on a serialization of the K -means algorithm consists in applying sequentially this algorithm by using a sliding window over the image [5].
Signal Processing for Image Enhancement and Multimedia Processing by Benjamín Dugnol, Carlos Fernández, Gonzalo Galiano, Julián Velasco (auth.), Ernesto Damiani, Kokou Yétongnon, Peter Schelkens, Albert Dipanda, Louis Legrand, Richard Chbeir (eds.)
by Kevin
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