53 citations · 180 across the 13 of their papers we have counts for
13 papers
Automatic Crater Shape Retrieval using Unsupervised and Semi-Supervised Systems
Atal Tewari, Vikrant Jain, Nitin Khanna
Impact craters are formed due to continuous impacts on the surface of planetary bodies. Most recent deep learning-based crater detection methods treat craters as circular shapes, a…
In-Orbit Lunar Satellite Image Super Resolution for Selective Data Transmission
Atal Tewari, Chennuri Prateek, Nitin Khanna
Rapid technological advancements have tremendously increased the data acquisition capabilities of remote sensing satellites. However, the data utilization efficiency in satellite m…
Source Printer Identification using Printer Specific Pooling of Letter Descriptors
Sharad Joshi, Yogesh Kumar Gupta, Nitin Khanna
The digital revolution has replaced the use of printed documents with their digital counterparts. However, many applications require the use of both due to several factors, includi…
Q-matrix Unaware Double JPEG Detection using DCT-Domain Deep BiLSTM Network
Vinay Verma, Deepak Singh, Nitin Khanna
The double JPEG compression detection has received much attention in recent years due to its applicability as a forensic tool for the most widely used JPEG file format. Existing st…
Automated Crater Detection from Co-registered Optical Images, Elevation Maps and Slope Maps using Deep Learning
Atal Tewari, Vinay Verma, Pradeep Srivastava +2
Impact craters are formed as a result of continuous impacts on the surface of planetary bodies. This paper proposes a novel way of simultaneously utilizing optical images, digital…
Empirical Evaluation of PRNU Fingerprint Variation for Mismatched Imaging Pipelines
Sharad Joshi, Pawel Korus, Nitin Khanna +1
We assess the variability of PRNU-based camera fingerprints with mismatched imaging pipelines (e.g., different camera ISP or digital darkroom software). We show that camera fingerp…
Source Printer Identification from Document Images Acquired using Smartphone
Sharad Joshi, Suraj Saxena, Nitin Khanna
Vast volumes of printed documents continue to be used for various important as well as trivial applications. Such applications often rely on the information provided in the form of…
Block-level Double JPEG Compression Detection for Image Forgery Localization
Vinay Verma, Deepak Singh, Nitin Khanna
Forged images have a ubiquitous presence in today's world due to ease of availability of image manipulation tools. In this letter, we propose a deep learning-based novel approach w…
First Steps Toward CNN based Source Classification of Document Images Shared Over Messaging App
Sharad Joshi, Suraj Saxena, Nitin Khanna
Knowledge of source smartphone corresponding to a document image can be helpful in a variety of applications including copyright infringement, ownership attribution, leak identific…
Source Printer Classification using Printer Specific Local Texture Descriptor
Sharad Joshi, Nitin Khanna
The knowledge of source printer can help in printed text document authentication, copyright ownership, and provide important clues about the author of a fraudulent document along w…
DCT-domain Deep Convolutional Neural Networks for Multiple JPEG Compression Classification
Vinay Verma, Nikita Agarwal, Nitin Khanna
With the rapid advancements in digital imaging systems and networking, low-cost hand-held image capture devices equipped with network connectivity are becoming ubiquitous. This eas…
Single Classifier-based Passive System for Source Printer Classification using Local Texture Features
Sharad Joshi, Nitin Khanna
An important aspect of examining printed documents for potential forgeries and copyright infringement is the identification of source printer as it can be helpful for ascertaining…
Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents
Hardik Jain, Gaurav Gupta, Sharad Joshi +1
In this digital era, one thing that still holds the convention is a printed archive. Printed documents find their use in many critical domains such as contract papers, legal tender…