Titlebook: Computational Intelligence in Image Processing; Amitava Chatterjee,Patrick Siarry Book 2013 Springer-Verlag Berlin Heidelberg 2013 computa

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Digital Watermarking Strings with Images Compressed by Fuzzy Relation Equationsuced with the same fuzzy relation equations used for obtaining . and .. The recomposition of the . gives the image . (signed). The quality of the reconstructed images with respect to the original images is measured from the Peak Signal-to-Noise Ratio (PSNR), and we show that . is very similar to . f

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A Cluster-Based Boosting Strategy for Red Eye Removalh to explore different aspects and problems of red eyes identification and correction. The big challenge now is to obtain the best results with the minimal number of visual errors. This chapter critically reviews some of the state-of-the-art approaches for red eye removal. We also discuss a recent t

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Strategien der Fehlerbehandlunghin the BFO algorithm in a more efficient manner, which is utilized to solve this image compression problem. The codebook design procedure has been implemented using a fuzzy membership-based method, and the optimization procedure attempts to determine suitable free parameters of these fuzzy sets. Th

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Begrenzungen der Untersuchung und Ausblick,smallest Euclidean distance with the template is declared as the winner. The work differs with respect to classical hierarchical template matching by two counts. First, the conditions here are induced with fuzzy measurements of the features. Fuzzy encoding eliminates small changes in imaging feature

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Strategien der Fehlerbehandlunguced with the same fuzzy relation equations used for obtaining . and .. The recomposition of the . gives the image . (signed). The quality of the reconstructed images with respect to the original images is measured from the Peak Signal-to-Noise Ratio (PSNR), and we show that . is very similar to . f

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Book 2013 for image analysis purposes; and Part IV shows how pattern recognition, classification and clustering-based techniques can be developed for the purpose of image inferencing. The book offers a unified view of the modern computational intelligence tech­niques required to solve real-world problems and