M. Omair Ahmad

TL;DR: The numerical results show that the proposed fractional order image denoising framework improves the peak signal to noise ratio of an image by preserving the textures and eliminating the staircases effects, which leads to visually pleasant restored images which exhibit a higher value of Structural SIMilarity score when compared to that of other methods.

TL;DR: A multichannel color image watermarking technique and its corresponding detector in the wavelet domain is proposed and it is shown that the proposed detector has better performance in presence or absence of different kinds of attacks in comparison to the other existing methods.

TL;DR: A multi-stage long short term memory (LSTM) based deep neural network is proposed to integrate multimodal features from numerous sensors for activity recognition to provide very satisfactory performance on a publicly available dataset.

TL;DR: The novelty of the proposed method is that it introduces a systematic framework that utilizes intensity, convexity, and texture information to achieve a high accuracy for automatic segmentation of nuclei in the phase-contrast images.

TL;DR: This brief investigates the jointly optimal pilot and data power allocation among the users in a massive multiuser multiple-input multiple-output downlink system, in which the base station is equipped with a massive number of antennas and simultaneously serves single-antenna users in the same frequency band.