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Komal R. Borisagar

Researcher at Gujarat Technological University

Publications -  61
Citations -  385

Komal R. Borisagar is an academic researcher from Gujarat Technological University. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 9, co-authored 54 publications receiving 285 citations.

Papers
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An efficient medical image watermarking scheme based on FDCuT–DCT

TL;DR: The robustness of the scheme is better than an existing scheme for a similar set of medical images in terms of Normalized Correlation (NC), and experimental results show that scheme is robust to geometric attacks, signal processing attacks and JPEG compression attacks.
Journal Article

Simulation and Comparative Analysis of LMS and RLS Algorithms Using Real Time Speech Input Signal

TL;DR: The adaptive filter and adaptive noise cancellation are researched deeply and the results prove its performance is better than the use of a fixed filter designed by conventional methods.
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A steganographic approach for secure communication of medical images based on the DCT-SVD and the compressed sensing (CS) theory

TL;DR: A hybrid approach based on cryptography and steganography is proposed for the security of medical image over an open communication channel using discrete cosine transform-singular value decomposition-based embedding process and shows improved imperceptibility of the stego image.
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Secure transmission and integrity verification of color radiological images using fast discrete curvelet transform and compressive sensing

TL;DR: 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, which demonstrates better performance in terms of imperceptibility of stego color Radiological image.
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A RONI Based Visible Watermarking Approach for Medical Image Authentication

TL;DR: The experimental results showed that this proposed Region of Non-Interest (RONI) based visible watermarking for medical image authentication reduces the computational complexity and improves the PSNR when compared to many existing schemes.