Falgun N. Thakkar

TL;DR: Robustness of the scheme is better than existing scheme for similar set of medical images in terms of normalized correlation coefficient (NCC) and bit-error-rate (BER) and performance comparison of proposed scheme with existing schemes shows proposed scheme has better robustness against different types of attacks.

TL;DR: A comparison of the reconstructed 10 ECG signals based on different wavelet families, by evaluating the performance measures as MSE (Mean Square Error), PSNR (Peak Signal To Noise Ratio), PRD (Percentage Root Mean Square Difference) and CoC (Correlation Coefficient), indicates that reverse biorthogonal wavelet family can give better results for all CRs compared to other families.

TL;DR: The application of wavelet transformation to multi-modality medical image fusion is demonstrated and the fusion performance is evaluated on the basis of the root mean square error (RMSE) and peak signal to noise ratio (PSNR).

TL;DR: Wavelet transform is applied along with compressive sensing on CT images and only 60% measurements can reproduce image with PSNR of more than 25 dB and with CoC more than 0.99.

TL;DR: An algorithm for watermarking of digital images is proposed in this paper which utilizes Compressive Sensing (CS) with Principle Components (PCs) to achieve robustness, speed and security and a comparison of robustness of proposed algorithm with existing algorithms reveals that the proposed algorithm outperforms for most of the noise attacks.