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Implementation of ICCV 2019 paper "Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations"

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This repository contains the source code, datasets and the supplemental material for the ICCV 2019 paper, "Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations"

The Folder 'Dataset' contains all the videos mentioned in the original paper and the supplemental materials are present in 'Supplemental_Material_ICCV2019'.

Aknowledgements:

  1. The matlab implmentation provided, uses YALL1 package, downloaded from http://yall1.blogs.rice.edu/ to solve the Lasso problem.
  2. The videos Middle, Small, Tiny were obtained from http://www.cs.cmu.edu/~ILIM/projects/IM/water/research_water.html .

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Implementation of ICCV 2019 paper "Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations"

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