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Kirjailija

Vedvyas J. Dwivedi

Kirjat ja teokset yhdessä paikassa: 3 kirjaa, julkaisuja vuosilta 2018-2019, suosituimpien joukossa Multibiometric Watermarking with Compressive Sensing Theory. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

3 kirjaa

Kirjojen julkaisuhaarukka 2018-2019.

Hybrid Video Compression Standard

Hybrid Video Compression Standard

Dhaval R. Bhojani; Vedvyas J. Dwivedi; Rohit M. Thanki

Springer Verlag, Singapore
2019
nidottu
The book presents compression techniques for digital video stream, describing their design using various image transforms, such as discrete cosine transform (DCT), discrete wavelet transform (DWT), and singular value decomposition (SVD). It first discusses the basic requirements and applications of video compression techniques. The book then addresses video compression using DCT as well as the hybrid compression technique, designed and implemented using DCT, DWT and SVD, demonstrating the simulation results for both. Lastly, it proposes future research directions in the field.
Multibiometric Watermarking with Compressive Sensing Theory

Multibiometric Watermarking with Compressive Sensing Theory

Rohit M. Thanki; Vedvyas J. Dwivedi; Komal R. Borisagar

Springer International Publishing AG
2019
nidottu
This book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.
Multibiometric Watermarking with Compressive Sensing Theory

Multibiometric Watermarking with Compressive Sensing Theory

Rohit M. Thanki; Vedvyas J. Dwivedi; Komal R. Borisagar

Springer International Publishing AG
2018
sidottu
This book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.