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Blind Image Deconvolution : Methods and Convergence / / by Subhasis Chaudhuri, Rajbabu Velmurugan, Renu Rameshan
| Blind Image Deconvolution : Methods and Convergence / / by Subhasis Chaudhuri, Rajbabu Velmurugan, Renu Rameshan |
| Autore | Chaudhuri Subhasis |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (162 p.) |
| Disciplina |
004
006.37 006.6 621.382 |
| Soggetto topico |
Optical data processing
Signal processing Image processing Speech processing systems Image Processing and Computer Vision Signal, Image and Speech Processing |
| ISBN | 3-319-10485-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Mathematical Background -- Blind Deconvolution Methods: A Review -- MAP Estimation: When Does it Work? -- Convergence Analysis in Fourier Domain -- Spatial Domain Convergence Analysis -- Sparsity-based Blind Deconvolution -- Conclusions and Future Research Directions. |
| Record Nr. | UNINA-9910298975503321 |
Chaudhuri Subhasis
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hyperspectral image fusion / / Subhasis Chaudhuri, Ketan Kotwal
| Hyperspectral image fusion / / Subhasis Chaudhuri, Ketan Kotwal |
| Autore | Chaudhuri Subhasis |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York : , : Springer, , 2013 |
| Descrizione fisica | 1 online resource (xvi, 191 pages) : illustrations (some color) |
| Disciplina |
004
006.312 006.37 006.6 |
| Collana | Gale eBooks |
| Soggetto topico |
Image processing - Digital techniques
Computer vision |
| ISBN | 1-4614-7470-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Current State of the Art -- Edge-preserving Solution -- Band Selection through Redundancy Elimination -- Bayesian Estimation -- Variational Solution -- Optimization-based Fusion -- Band Selection: Revisited -- Performance Assessment of Fusion Techniques -- Results and Discussions -- Conclusions and Directions for Future Research. |
| Record Nr. | UNINA-9910437586003321 |
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Chaudhuri Subhasis
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| New York : , : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Kinesthetic Perception : A Machine Learning Approach / / by Subhasis Chaudhuri, Amit Bhardwaj
| Kinesthetic Perception : A Machine Learning Approach / / by Subhasis Chaudhuri, Amit Bhardwaj |
| Autore | Chaudhuri Subhasis |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XV, 138 p. 50 illus., 44 illus. in color.) |
| Disciplina | 004.77 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Robotics
Automation Artificial intelligence Control engineering Robotics and Automation Artificial Intelligence Control and Systems Theory |
| ISBN | 981-10-6692-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- 1 Introduction -- 1.1 Basics of Haptics -- 1.1.1 Various Research Areas in Haptics -- 1.1.2 Possible Applications -- 1.2 Kinesthetic Perception -- 1.3 Perception: Aware Engineering Design -- 1.4 Organization of the Book -- References -- 2 Perceptual Deadzone -- 2.1 Haptic Data Compression -- 2.2 Perceptual Deadzone for Multidimensional Signals -- 2.3 Effect of Rate of Change of Kinesthetic Stimuli -- References -- 3 Predictive Sampler Design for Haptic Signals -- 3.1 Introduction -- 3.2 Experimental Setup -- 3.2.1 Device Setup -- 3.2.2 Signal Characteristics -- 3.2.3 Lag in User Response -- 3.2.4 Collected Data -- 3.3 Classification of Haptic Response -- 3.3.1 Performance Metric -- 3.3.2 Weber Classifier -- 3.3.3 Level Crossing Classifier -- 3.3.4 Classifiers Based on Decision Tree and Random Forests -- 3.3.5 Effect of Temporal Spacing -- 3.3.6 Significance Test for Classifiers -- 3.4 Applications in Adaptive Sampling -- References -- 4 Deadzone Analysis of 2-D Kinesthetic Perception -- 4.1 Introduction -- 4.2 Experimental Setup -- 4.2.1 Signal Characteristics and User Response -- 4.2.2 Data Statistics -- 4.3 Determination of Perceptual Deadzone -- 4.3.1 The Weber Classifier -- 4.3.2 Level Crossing Classifier -- 4.3.3 Elliptical Deadzone -- 4.3.4 Oriented Elliptical Deadzone -- References -- 5 Effect of Rate of Change of Stimulus -- 5.1 Introduction -- 5.2 Design of Experiment -- 5.2.1 Kinesthetic Force Stimulus -- 5.2.2 Data Collection -- 5.3 System Correction -- 5.4 Estimation of Decision Boundary -- 5.4.1 Parametric Decision Boundary -- 5.4.2 Nonparametric Decision Boundary -- 5.5 Analysis of Results -- References -- 6 Temporal Resolvability of Stimulus -- 6.1 Introduction -- 6.1.1 Motivation for the Study -- 6.1.2 Related Work -- 6.1.3 Our Approach.
6.2 Experimental Setup -- 6.2.1 Signal Characteristics -- 6.2.2 Data Collection -- 6.3 Estimation of Temporal Resolution -- 6.4 Effect of Fatigue -- 6.5 Application in Data Communication -- References -- 7 Task Dependence of Perceptual Deadzone -- 7.1 Introduction -- 7.1.1 Objective of the Study -- 7.1.2 Prior Work -- 7.1.3 Our Approach -- 7.2 Design of Experiment -- 7.2.1 Kinesthetic Force Stimulus -- 7.2.2 Data Statistics -- 7.3 Estimation of Perceptual Deadzones -- References -- 8 Sequential Effect on Kinesthetic Perception -- 8.1 Introduction -- 8.2 Sequential Effect -- 8.3 Quantification of Sequential Effect -- 8.3.1 Logistic Regression -- 8.3.2 Description of the Regression Model -- 8.4 Analysis of Effect on Comparative Task -- 8.5 Analysis of Effect on Discriminative Task -- References -- 9 Conclusions -- Index. |
| Record Nr. | UNINA-9910299564303321 |
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Chaudhuri Subhasis
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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