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Found 11 papers, 1 papers with code
Arbitrary Scale Super-Resolution Assisted Lunar Crater Detection in Satellite Images
Super-resolution (SR) is a practical and cost-effective solution; however, most SR approaches work on fixed integer scale factors, i. e., a single model can generate images of a specific resolution.
Deep Learning based Systems for Crater Detection: A Review
To be specific, we discuss the challenges in crater detection due to the complex properties of the craters and survey the DL-based CDAs by categorizing them into three parts: (a) semantic segmentation-based, (b) object detection-based, and (c) classification-based.
Automatic Crater Shape Retrieval using Unsupervised and Semi-Supervised Systems
Further, the extracted shapes of the craters are utilized to improve the estimate of the craters' diameter, depth, and other morphological factors.
In-Orbit Lunar Satellite Image Super Resolution for Selective Data Transmission
Therefore, to decrease the cost of the satellite mission, we propose a novel system design for selective data transmission, based on in-orbit inferences.
Source Printer Identification using Printer Specific Pooling of Letter Descriptors
The digital revolution has replaced the use of printed documents with their digital counterparts.
Q-matrix Unaware Double JPEG Detection using DCT-Domain Deep BiLSTM Network
A set of extensive experiments shows that the proposed system trained on a single dataset generalizes well on other datasets compressed with completely unseen quantization matrices and outperforms the state-of-the-art methods in both seen and unseen quantization matrices scenarios.
Empirical Evaluation of PRNU Fingerprint Variation for Mismatched Imaging Pipelines
We assess the variability of PRNU-based camera fingerprints with mismatched imaging pipelines (e. g., different camera ISP or digital darkroom software).
Source Printer Identification from Document Images Acquired using Smartphone
Source printer identification provides essential information about the origin and integrity of a printed document in a fast and cost-effective manner.
First Steps Toward CNN based Source Classification of Document Images Shared Over Messaging App
Knowledge of source smartphone corresponding to a document image can be helpful in a variety of applications including copyright infringement, ownership attribution, leak identification and usage restriction.
Single Classifier-based Passive System for Source Printer Classification using Local Texture Features
This paper proposes a system for classification of source printer from scanned images of printed documents using all the printed letters simultaneously.
Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents
This paper proposes a set of features for characterizing text-line-level geometric distortions, referred as geometric distortion signatures and presents a novel system to use them for identification of the origin of a printed document.
