Shrey Singh is a Research Scholar (Ph.D.) in Dept. of CSE, IITR, under the supervision of Dr. Partha Pratim Roy (IIT Roorkee). He is currently working on the deep learning approach for image enhancement and exploring the problem of super-resolution. He has completed M.Tech from National Institute of Technology Jamshedpur, Jharkhand, India. He has received B. Tech. Degree in Information Technology from Uttarakhand Technical University in 2015.
He is currently working on the demanding problem of computer vision: Super-resolution (SR). It is the task of predicting the pixel's information of an image, given a low resolution(LR) image, to estimate it’s relatively high resolution(HR). SR has a wide variety of applications including video surveillance, medical imaging and diagnosis, facial recognition, satellite imaging, and surface topography measurement. Recent advances in deep learning have facilitated new modalities for transforming the lower resolution image to a higher resolution. The generated high-resolution image must reconstruct the high-frequency details of the image to generate a plausible result. we can employ super-resolution to videos as feature extraction is done on the lower resolution input through small filters, which consumes less memory and computations. The upsampling is done at the last layer of the network which will allow the high-definition super-resolution of the videos in real-time.