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DIOR Nr. 080 Red Smile Make-up Set 3.5 g
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40,99 € *
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Zur magischsten Zeit des Jahres kommt der legendäre Rouge Dior in 4 kultigen Farbtönen und präsentiert sich mit einem funkelnden Ring und einem in den Stift eingravierten Dior-Namenszug. Peter Philips, Creative und Image Director für Dior Make-up, kreierte die limitierte Sammeledition, damit jede Frau ihrer Persönlichkeit Ausdruck verleihen kann und die Farben nach Lust und Laune wählen und wechseln kann. Die Rouge Dior Happy 2020 Lippenstifte bieten ultrapigmentierte und leuchtende Couture-Farben mit maximalem Komfort, langem Halt und sowohl satiniertem als auch mattem Finish. Die üppige Pflegeformel von Rouge Dior bietet bis zu 16 Stunden Komfort, ohne dass die Lippen austrocknen oder die Farbe verwischt. Sie enthält feuchtigkeitsspendende Mangobutter, Seefenchel, der vitalisierend wirkt, Hyaluronsäurekügelchen, die den Lippen Fülle geben, Decox, das für Volumen auf der Oberfläche sorgt, sowie rückfettendes Lipexel. Nuancen für explosive Weiblichkeit: • 080 Red Smile: ein leuchtendes Rot mit satiniertem Finish • 520 Feel Good: ein kräftiges Rosa mit satiniertem Finish • 772 Classic Matte: ein Rosenholz mit mattem Finish • 999 Matte: ein kultiges Rot mit satiniertem Finish

Anbieter: douglas.de
Stand: 23.01.2020
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A Novel Approach For Improvements In Content Ba...
61,60 € *
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In CBIR the most common feature used are shape, colors, texture etc. To improve the accuracy of retrieval, it must look on the far side the classical features. The features which could easily be extracted from data could be considered. One of such feature is directionality of the image texture. Directional information can be represented in a compact manner by using transform like wavelet, Gabor, Radon etc. In this book we address this problem of using directional information to increase accuracy of CBIR. Content-based image retrieval (CBIR), additionally called question by image content (QBIC) and content-based visual info retrieval (CBVIR) is that the application of laptop vision techniques to the image retrieval drawback, that is, the matter of checking out digital pictures in giant databases. In this book we have compared classical histogram method for image retrieval with retrieval using Gabor, Wavelet, Complex Wavelet, Radon transform and Ridgelet transform. Image retrieval performance is estimated by using Precession and Recall.

Anbieter: Dodax AT
Stand: 23.01.2020
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DIOR Lippen Lippenstifte Happy 2020 Rouge Dior ...
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34,95 € *
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Die Rouge Dior Sammeledition bezaubert zu Weihnachten und Silvester mit einem funkelnden Ring und einem in den Stift eingravierten Dior-Namenszug. Der Lippenstift bietet optimalen, langanhaltenden Komfort und kräftige, leuchtende Couture-Farben, sowohl mit satiniertem als auch mit mattem Finish. Die üppige Formel von Rouge Dior bietet 16 Stunden* Komfort, ohne dass die Lippen austrocknen oder die Farbe verwischt, egal ob mit mattem oder satiniertem Finish. Sie ist angereichert mit Feuchtigkeit spendender natürlicher Mangobutter, revitalisierendem Seefenchel, auffüllenden Hyaluronsäurekügelchen, ceramidähnlichen Molekülen, die Volumen an der Lippenoberfläche schenken, und regenerierendem Luffaöl. Zu Weihnachten und Silvester feiert Dior mit Rouge Dior Happy 2020 in 4 kultigen Farbtönen eine explosive Weiblichkeit: 080 Red Smile: Leuchtendes Rot, satiniertes Finish520 Feel Good: Kräftiges Rosa, satiniertes Finish772 Classic Matte: Rosenholz, mattes Finish999 Matte: Kultiges Rot, satiniertes Finish „Ich habe diese Rouge Dior Kollektion kreiert, damit jede Frau ihrer Persönlichkeit Ausdruck verleihen und die Farben nach Lust und Laune wählen und wechseln kann.“ Peter Philips, Creative und Image Director für Dior Make-up.*Autoscorage mit 60 Frauen.

Anbieter: parfumdreams
Stand: 23.01.2020
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A Novel Approach For Improvements In Content Ba...
59,90 € *
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In CBIR the most common feature used are shape, colors, texture etc. To improve the accuracy of retrieval, it must look on the far side the classical features. The features which could easily be extracted from data could be considered. One of such feature is directionality of the image texture. Directional information can be represented in a compact manner by using transform like wavelet, Gabor, Radon etc. In this book we address this problem of using directional information to increase accuracy of CBIR. Content-based image retrieval (CBIR), additionally called question by image content (QBIC) and content-based visual info retrieval (CBVIR) is that the application of laptop vision techniques to the image retrieval drawback, that is, the matter of checking out digital pictures in giant databases. In this book we have compared classical histogram method for image retrieval with retrieval using Gabor, Wavelet, Complex Wavelet, Radon transform and Ridgelet transform. Image retrieval performance is estimated by using Precession and Recall.

Anbieter: Dodax
Stand: 23.01.2020
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Advanced Concepts for Intelligent Vision Systems
85,98 € *
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This book constitutes the refereed proceedings of the 17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016, held in Lecce, Italy, in October 2016.The 64 revised full papers presented in this volume were carefully selected from 137 submissions. They deal with classical low-level image processing techniques, image and video compression, 3D, security and forensics, and evaluation methodologies.

Anbieter: Dodax AT
Stand: 23.01.2020
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Video Error Concealment Techniques for Multi-Br...
33,36 € *
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The transmission of digital TV signals to mobile receivers is often error-prone. As most TV broadcasting techniques provide only moderate error robustness, horizontal lines of consecutive image blocks are lost during decoding of the received video signals. In order to ensure high viewing experiences, these lost slices have to be filled by error concealment techniques. However, the reconstruction qualities of classical approaches which exploit spatial, temporal, or spatio-temporal signal correlations are not convincing yet.In the future, mobile TV receivers will support different broadcasting techniques in parallel. As a result, an erroneous high-resolution video signal and a correctly received low-resolution video signal, both representing the same TV service, will often be available. Focusing on the outlined scenario for multi-broadcast reception of digital TV signals, this thesis introduces the novel category of inter-sequence error concealment algorithms. The basic idea is to fill lost slices of the high-resolution video signal by the interpolated low-resolution video signal. Since the images of this reference signal are often cropped and delayed, robust spatio-temporal image alignment is crucial. By including a pixel-based or a feature-based alignment scheme, the proposed concealment algorithms provide excellent visual qualities and outstanding reconstruction qualities of up to 41 dB PSNR. Classical concealment techniques are outperformed by up to 15 dB PSNR.To further enhance the reconstruction quality, several extensions are introduced. First, the alignment robustness and the interpolation quality are increased. Subsequently, a classical temporal approach is incorporated as an alternative concealment mode to cope with low image qualities of the reference signal. Novel aspects include robust mode selection, enhanced motion estimation, and the reconstruction of the displaced frame differences from the reference signal. As a last extension, spatial refinement tackles blurring of concealed image blocks. Missing spectral components are recovered in a frequency selective way based on approximation and extrapolation principles. By combining all relevant extensions, the PSNR gain adds up to 20 dB with respect to classical concealment.Finally, inter-sequence error concealment is adapted to multi-broadcast reception of two erroneous high-resolution video signals. While spatial alignment can be omitted, classical concealment of blocks, being lost in both video signals, and drift compensation in predictively-coded frames are novel aspects. Again, high visual qualities are obtained and classical concealment is outperformed by up to 15 dB PSNR.

Anbieter: Dodax
Stand: 23.01.2020
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Video Error Concealment Techniques for Multi-Br...
33,36 € *
ggf. zzgl. Versand

The transmission of digital TV signals to mobile receivers is often error-prone. As most TV broadcasting techniques provide only moderate error robustness, horizontal lines of consecutive image blocks are lost during decoding of the received video signals. In order to ensure high viewing experiences, these lost slices have to be filled by error concealment techniques. However, the reconstruction qualities of classical approaches which exploit spatial, temporal, or spatio-temporal signal correlations are not convincing yet.In the future, mobile TV receivers will support different broadcasting techniques in parallel. As a result, an erroneous high-resolution video signal and a correctly received low-resolution video signal, both representing the same TV service, will often be available. Focusing on the outlined scenario for multi-broadcast reception of digital TV signals, this thesis introduces the novel category of inter-sequence error concealment algorithms. The basic idea is to fill lost slices of the high-resolution video signal by the interpolated low-resolution video signal. Since the images of this reference signal are often cropped and delayed, robust spatio-temporal image alignment is crucial. By including a pixel-based or a feature-based alignment scheme, the proposed concealment algorithms provide excellent visual qualities and outstanding reconstruction qualities of up to 41 dB PSNR. Classical concealment techniques are outperformed by up to 15 dB PSNR.To further enhance the reconstruction quality, several extensions are introduced. First, the alignment robustness and the interpolation quality are increased. Subsequently, a classical temporal approach is incorporated as an alternative concealment mode to cope with low image qualities of the reference signal. Novel aspects include robust mode selection, enhanced motion estimation, and the reconstruction of the displaced frame differences from the reference signal. As a last extension, spatial refinement tackles blurring of concealed image blocks. Missing spectral components are recovered in a frequency selective way based on approximation and extrapolation principles. By combining all relevant extensions, the PSNR gain adds up to 20 dB with respect to classical concealment.Finally, inter-sequence error concealment is adapted to multi-broadcast reception of two erroneous high-resolution video signals. While spatial alignment can be omitted, classical concealment of blocks, being lost in both video signals, and drift compensation in predictively-coded frames are novel aspects. Again, high visual qualities are obtained and classical concealment is outperformed by up to 15 dB PSNR.

Anbieter: Dodax AT
Stand: 23.01.2020
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Soft Computing for Image Processing
181,89 € *
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Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred. The processing and analysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image. It was also realized very early that many basic properties of and operations on image subsets could be extended to fuzzy subsets, for example, the classic paper on fuzzy sets by Zadeh [2] discussed the "set algebra" of fuzzy sets (using sup for union and inf for intersection), and extended the defmition of convexity to fuzzy sets. These and similar ideas allowed many of the methods of image analysis to be generalized to fuzzy image parts. For are cent review on geometric description of fuzzy sets see, e. g. , [3]. Fuzzy methods are also valuable in image processing and coding, where learning processes can be important in choosing the parameters of filters, quantizers, etc.

Anbieter: Dodax
Stand: 23.01.2020
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Soft Computing for Image Processing
186,99 € *
ggf. zzgl. Versand

Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred. The processing and analysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image. It was also realized very early that many basic properties of and operations on image subsets could be extended to fuzzy subsets, for example, the classic paper on fuzzy sets by Zadeh [2] discussed the "set algebra" of fuzzy sets (using sup for union and inf for intersection), and extended the defmition of convexity to fuzzy sets. These and similar ideas allowed many of the methods of image analysis to be generalized to fuzzy image parts. For are cent review on geometric description of fuzzy sets see, e. g. , [3]. Fuzzy methods are also valuable in image processing and coding, where learning processes can be important in choosing the parameters of filters, quantizers, etc.

Anbieter: Dodax AT
Stand: 23.01.2020
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The True Wayfaring Christian
33,95 € *
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This thoughtful study, the result of decades of research and teaching, locates Milton's works in the Protestant theological tradition. In reaction to treatments of Miltonic "philosophy", Nathaniel Henry regards Milton's Christian Doctrine as great and comprehensive theology. The image of the classical poet is enhanced by Professor Henry's portrait of Milton as a competent Biblical exegete and authoritative Protestant scholar.

Anbieter: Dodax
Stand: 23.01.2020
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Image Feature Extraction Using Fuzzy Morphology
60,70 € *
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This work proposes a process for extracting featuresfrom remotely sensed imagery that utilizes fuzzymathematical morphology operators. A key concept isthe introduction of an Adaptive Fuzzy Morphology. TheAdaptive Fuzzy Morphology uses an image generatedparameter that is uniquely specific to an image basedon certain image characteristics. That parameter issubsequently used with a set of predefined T-normsand S-norms to generate morphological operators whichprocess the image. Furthermore, the work illustratesmorphological operators based on grayscalemorphology, classical fuzzy morphology, additivemorphology, bounded morphology and adaptivemorphology, and explains the process for defining howthe process of generating the adaptive parameter andthe Adaptive morphological operator works. Thedifferent morphologies are compared on sampleLandsat-7, SPOT-5, QuickBird and EROS images. Theperformance of the Adaptive Fuzzy Morphology iscompared to the other morphologies and evaluated.

Anbieter: Dodax AT
Stand: 23.01.2020
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