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Advances in image and data processing using VLSI design. Volume 1, Smart vision systems

Title
Advances in image and data processing using VLSI design. Volume 1, Smart vision systems / edited by Sandeep Saini, Kusum Lata, Abhishek Sharma, G.R. Sinha.
ISBN
9780750339193
9780750339186
9780750339179
9780750339209
Publication
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2021]
Physical Description
1 online resource (various pagings) : illustrations (some color).
Local Notes
Access is available to the Yale community.
Notes
"Version: 202112"--Title page verso.
Access and use
Access restricted by licensing agreement.
Biographical / Historical Note
Dr. Sandeep Saini has been active in field of VLSI design and hardware implementation for more than a decade. Dr. Kusum Lata is an Associate Professor in the Department of Electronics and Communication Engineering at LNMIIT-Jaipur. Dr. Abhishek Sharma received his PhD in Engineering from University of Genoa, Italy. He is presently working as an Assistant professor in the Department of Electronics and Communication Engineering at The LNM Institute of Information and Technology, Jaipur, India. Dr. G.R. Sinha has made significant advancements in the fields of academic research and consultancy. He is known globally as an expert in this emerging topic.
Summary
VLSI is a well-established field of research that ignited the modern computing revolution. Serving as a guide to future developments, this book provides a framework for design, modeling concepts, and application of Image Processing based systems using VLSI design techniques.
Variant and related titles
Smart vision systems.
IOP ebooks.
Other formats
Also available in print.
Print version:
Format
Books / Online
Language
English
Added to Catalog
February 14, 2022
Series
IOP series in next generation computing.
IOP ebooks. 2021 collection.
IOP series in next generation computing
IOP ebooks. [2021 collection]
Bibliography
Includes bibliographical references.
Audience
Academic and industrial researchers.
Contents
1. An FPGA implementation of the RSA algorithm using VHDL and a Xilinx system generator for image applications / Sandeep Saini, Kusum Lata, Abhishek Sharma and G R Sinha
2. Modern ML methods for object detection / Abhishek Choubey, Shruti Bhargava Choubey, Anees Banu and Ipseeta Nanda
3. Embedded intelligence for tracking facial expressions / Kyle Zampell and Ali Ahmadinia
4. The roles of delay and power optimization techniques in VLSI design / Payal Bansal, Devendra Kumar Somwanshi, Balwinder Singh Dhaliwal and Pallavi Sapkale
5. SIVAS : smart interactive virtual assistance system
a voice user interface / Abhishek Bharti, Amardeep Kumar, Manonita Verma, Lochana Perera and Menka Yadav
6. A topical survey of computing solutions for plant disease classification using deep learning techniques / Aniket Dhole, Mohit Gandhi, Shrishail Kumbhar, Harsh Singhal and Sonal Gore
7. Hardware IP cores for image processing functions / Anirban Sengupta and Rahul Chaurasia
8. An efficient underwater image cryptosystem that uses a novel hybrid algorithm / Alpana Sharma, Venkatadri Marriboyina and Kamlesh Gupta
9. A survey of thresholding in image processing / Eshaan Rathi and Abhishek Sharma
10. Review of quality assessment of fruit and vegetables using NIR spectroscopy / R. Mariappan, B. Lakshmi Sirisha and P.S. Suhasini
11. Design and implementation of processors for secure image processing applications / M. Vardhana, Roopashree and Pavanalaxmi
12. Low-power modified phase-locked loop using AVLS technique for biomedical applications / B.S. Premananda, Maria Bency, Shwetha R. Prasanna and G.P. Shreya
13. Image multiplication with a power-efficient approximate multiplier using a 4:2 compressor / Lavanya Maddisetti, Ranjan K. Senapati and J.V.R. Ravindra
14. A comparison of different procedures for hardware-based video shot boundary detection / Shrikant Chavate and Ravi Mishra
15. Hardware-software co-simulation of vehicle license plate detection on the ZedBoard SoC platform / Surbhi Chhabra, Sandeep Saini and Kusum Lata.
Citation

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