2 citations · 3 across the 5 of their papers we have counts for
7 papers · 1 filter
Dark Channel-Assisted Depth-from-Defocus from a Single Image
Moushumi Medhi, Rajiv Ranjan Sahay
We estimate scene depth from a single defocus-blurred image using the dark channel as a complementary cue, leveraging its ability to capture local statistics and scene structure. T…
Deep Generative Adversarial Network for Occlusion Removal from a Single Image
Sankaraganesh Jonna, Moushumi Medhi, Rajiv Ranjan Sahay
Nowadays, the enhanced capabilities of in-expensive imaging devices have led to a tremendous increase in the acquisition and sharing of multimedia content over the Internet. Despit…
PAG-Net: Progressive Attention Guided Depth Super-resolution Network
Arpit Bansal, Sankaraganesh Jonna, Rajiv R. Sahay
In this paper, we propose a novel method for the challenging problem of guided depth map super-resolution, called PAGNet. It is based on residual dense networks and involves the at…
My camera can see through fences: A deep learning approach for image de-fencing
Sankaraganesh Jonna, Krishna Kanth Nakka, Rajiv R. Sahay
In recent times, the availability of inexpensive image capturing devices such as smartphones/tablets has led to an exponential increase in the number of images/videos captured. How…
Towards an Automated Image De-fencing Algorithm Using Sparsity
Sankaraganesh Jonna, Krishna K. Nakka, Rajiv R. Sahay
Conventional approaches to image de-fencing suffer from non-robust fence detection and are limited to processing images of static scenes. In this position paper, we propose an auto…
Stereo image de-fencing using smartphones
Sankaraganesh Jonna, Sukla Satapathy, Rajiv R. Sahay
Conventional approaches to image de-fencing have limited themselves to using only image data in adjacent frames of the captured video of an approximately static scene. In this work…