Written using clear and accessible language, this useful guide discusses fundamental concepts and practices of multi-resolution image fusion.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Manjunath V. Joshi has received his M.Tech. and Ph.D. degrees from the Indian Institute of Technology (IIT) Bombay. Currently, he is serving as a Professor with the Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. He has been involved in active research in the areas of computer vision, machine learning and cognitive radio and has several publications in quality journals and conferences. He has co-authored two books entitled Motion-Free Super Resolution (2005) and Digital Heritage Reconstruction using Super-resolution and Inpainting (2016). Dr Joshi has received Outstanding Researcher Award in Engineering by the Research Scholars Forum of IIT Bombay and Dr Vikram Sarabhai Award for 2006¿2007.
Inhaltsangabe
Preface Acknowledgement Dedication List of figures List of tables 1. Introduction 2. Literature review 3. Image fusion using different edge preserving filters 4. Image fusion: model based approach with degradation estimation 5. Use of self-similarity and Gabor Prior 6. Image fusion: application to super-resolution of natural images 7. Conclusions and directions for future research Bibliography Index.
Preface Acknowledgement Dedication List of figures List of tables 1. Introduction 2. Literature review 3. Image fusion using different edge preserving filters 4. Image fusion: model based approach with degradation estimation 5. Use of self-similarity and Gabor Prior 6. Image fusion: application to super-resolution of natural images 7. Conclusions and directions for future research Bibliography Index.
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