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20162025
most citedA Compressed Sensing Approach to Pooled RT-PCR Testing for COVID-19 Detection

69 citations · 105 across the 23 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing

Sabyasachi Ghosh, Sanyam Saxena, Ajit Rajwade

Popular social media platforms employ neural network based image moderation engines to classify images uploaded on them as having potentially objectionable content. Such moderation…

cs.CV2019

Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations

Jerin Geo James, Pranay Agrawal, Ajit Rajwade

Images of static scenes submerged beneath a wavy water surface exhibit severe non-rigid distortions. The physics of water flow suggests that water surfaces possess spatio-temporal…

cs.CV2018★ 1 cited

Learning from past scans: Tomographic reconstruction to detect new structures

Preeti Gopal, Sharat Chandran, Imants Svalbe +1

The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, p…

cs.CV2017★ 2 cited

Tomographic Reconstruction using Global Statistical Prior

Preeti Gopal, Ritwick Chaudhry, Sharat Chandran +2

Recent research in tomographic reconstruction is motivated by the need to efficiently recover detailed anatomy from limited measurements. One of the ways to compensate for the incr…

cs.CV2016★ 1 cited

Optimizing Codes for Source Separation in Color Image Demosaicing and Compressive Video Recovery

Alankar Kotwal, Ajit Rajwade

There exist several applications in image processing (eg: video compressed sensing [Hitomi, Y. et al, "Video from a single coded exposure photograph using a learned overcomplete di…