2015 IEEE 9th International Symposium on Intelligent Signal Processing (WISP) Proceedings 2015
DOI: 10.1109/wisp.2015.7139159
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Abstract: The most advanced metrics for performance evaluation of image denoising algorithms are based on the classification of filtered pixels in two crisp classes: pixels where residual noise is still present (due to insufficient filtering) and pixels where excessive filtering has produced distortion. However, the intrinsic nature of image denoising is very likely to be fuzzy: a pixel can be affected by different degrees of unfiltered noise and filtering distortion as well. According to this idea, a new method for per… Show more

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(1 citation statement)
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“…To achieve the most accurate classification results, it is necessary for the experiments several optimization procedures to be applied to the ISAR image after its generation. It is of particular importance in this research to obtain the most detailed images ( [11], [12], [13], [14], [15]), shown of figure 2 and to maintain a target-specific database with reference models [6]. This article proposes a method by which the observed aircraft is classified according to the location of its engines.…”
Section: Preconditions and Designmentioning
confidence: 99%
“…To achieve the most accurate classification results, it is necessary for the experiments several optimization procedures to be applied to the ISAR image after its generation. It is of particular importance in this research to obtain the most detailed images ( [11], [12], [13], [14], [15]), shown of figure 2 and to maintain a target-specific database with reference models [6]. This article proposes a method by which the observed aircraft is classified according to the location of its engines.…”
Section: Preconditions and Designmentioning
confidence: 99%