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Written using clear and accessible language, this useful guide discusses fundamental concepts and practices of multi-resolution image fusion.
List of contents
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.
About the author
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.Kishor P. Upla is Assistant Professor in Sardar Vallabhbhai National Institute of Technology, Surat (SVNIT). He received his Ph.D. degree from Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. He has fourteen years of teaching experience. His areas of interest include signal and image processing, multi-spectral and hyperspectral image analysis.
Summary
Presenting new advances in the field, this text will be a valuable reference for the students and researchers of image processing, multi-spectral imaging and remote sensing. It discusses tools and techniques of multi resolution image fusion with the necessary mathematical background.
