http://10.9.150.37:8080/dspace//handle/atmiyauni/267 2026-04-27T18:44:28Z 2026-04-27T18:44:28Z Mewada, K.M. http://10.9.150.37:8080/dspace//handle/atmiyauni/2283 2025-01-06T09:36:03Z 2016-02-01T00:00:00Z

Title: A Survey on Latest Wireless Technologies Authors: Mewada, K.M. Abstract: Wireless communication is among technology’s biggest contributions to mankind. Wireless communication involves the transmission of information over a distance without the help of wires, cables, or any other forms of electrical conductors. The transmitted distance can be anywhere between a few meters (for example, a television’s remote control) and thousands of kilometers (for example, radio communication). It is used as an advantage for working professionals in remote areas to remain in touch with their main headquarters. Moreover, it is wireless so it can be easily accessible without cables and wires. It is cheaper to install and maintain.

2016-02-01T00:00:00Z Thank, Rohit Dwivedi, Vedvyas Borisagar, Komal http://10.9.150.37:8080/dspace//handle/atmiyauni/2263 2025-01-02T07:14:45Z 2019-10-01T00:00:00Z

Title: A hybrid watermarking scheme with CS theory for security of multimedia data Authors: Thank, Rohit; Dwivedi, Vedvyas; Borisagar, Komal Abstract: A hybrid watermarking scheme for multimedia data such as digital image, digital video is proposed in this paper. The scheme utilizes various image processing transforms and Compressive Sensing (CS) to achieved fragility and security for multimedia data. The compressive sensing is applied on the singular value of wavelet coefficients of watermark image to get the CS measurements. These CS measurements are embedded with embedding factor into the hybrid coefficients (high frequency curvelet coefficients of DT coefficients) of the host medium. In the proposed scheme, host medium may be digital image or video. The generated watermarked data have different security layers such as four levels from CS such as knowledge of transform basis matrix, measurement matrix, orthogonal matrices, information of wavelet basis matrix and one level from watermarking such as embedding factor. The scheme offers fragility and security to multimedia data against various standard watermarking attacks such as signal processing attacks, geometric attacks, and compression attacks. This scheme can be provided high payload capacity and used for host multimedia authentication. A comparison of proposed scheme with existed schemes shows that the proposed scheme performed faster and better than existed schemes available in the literature.

2019-10-01T00:00:00Z Borisagar, Komal http://10.9.150.37:8080/dspace//handle/atmiyauni/2262 2025-01-02T07:14:18Z 2019-04-01T00:00:00Z

Title: Secure transmission and integrity verification of color radiological images using fast discrete curvelet transform and compressive sensing Authors: Borisagar, Komal Abstract: Rapid growth in digitization and globalization has influenced the medical field immensely. The radiological pictures are frequently shared comprehensively among specialists, medicinal experts, radiologists, analysts, and patients themselves by means of wired or remote media for purposes, for example, common accessibility and enhancing the diagnostic results. This paper proposes a hybrid and high capacity image hiding technique for secure transmission and integrity of color radiological images. The Compressive Sensing (CS) theory is used to encrypt the color secret image before embedding them into high frequency Fast Discrete Curvelet Transform (FDCuT) coefficients of color radiological images. The simulations gave a PSNR of 63.96 dB, which demonstrates better performance in terms of imperceptibility of stego color radiological image. Further, expansive payload limit is permitted when contrasted with many existing strategies.

2019-04-01T00:00:00Z Kothari, Ashish http://10.9.150.37:8080/dspace//handle/atmiyauni/2260 2025-01-02T07:00:27Z 2019-01-01T00:00:00Z

Title: Hybrid and advanced compression techniques for medical images Authors: Kothari, Ashish Abstract: This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) and greedy based recovery algorithm. The authors show how these techniques provide simulation results of various compression techniques for different types of medical images, such as MRI, CT, US, and x-ray images. Future research directions are provided for medical imaging science. The book will be a welcomed reference for engineers, clinicians, and research students working with medical image compression in the biomedical imaging field. Covers various algorithms for data compression and medical image compression; Provides simulation results of compression algorithms for different types of medical images; Provides study of compressive sensing theory for compression of medical images.

2019-01-01T00:00:00Z