This paper proposes a method to hide information into images that achieves robustness against printing and scanning with blind decoding. A significant contribution of this paper i...
Kaushal Solanki, Upamanyu Madhow, B. S. Manjunath,...
Abstract. We present a novel technique where a medical image segmentation system is evolved using genetic programming. The evolved system was trained on just 8 images outlined by a...
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This ...
Roummel F. Marcia, Zachary T. Harmany, Rebecca Wil...
The size and resolution of volume datasets in science and medicine are increasing at a rate much greater than the resolution of the screens used to view them. This limits the amou...
Lujin Wang, Ye Zhao, Klaus Mueller, Arie E. Kaufma...
In this paper, we propose a system-level error tolerance scheme for systems where a linear transform is combined with quantization. These are key components in multimedia compress...