Comparison between various patch wise strategies for reconstruction of ultra-spectral cubes captured with a compressive sensing system

Yaniv Oiknine, Isaac Y. August, Liat Revah, Adrian Stern

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

Recently we introduced a Compressive Sensing Miniature Ultra-Spectral Imaging (CS-MUSI) system. The system is based on a single Liquid Crystal (LC) cell and a parallel sensor array where the liquid crystal cell performs spectral encoding. Within the framework of compressive sensing, the CS-MUSI system is able to reconstruct ultra-spectral cubes captured with only an amount of ∼10% samples compared to a conventional system. Despite the compression, the technique is extremely complex computationally, because reconstruction of ultra-spectral images requires processing huge data cubes of Gigavoxel size. Fortunately, the computational effort can be alleviated by using separable operation. An additional way to reduce the reconstruction effort is to perform the reconstructions on patches. In this work, we consider processing on various patch shapes. We present an experimental comparison between various patch shapes chosen to process the ultra-spectral data captured with CS-MUSI system. The patches may be one dimensional (1D) for which the reconstruction is carried out spatially pixel-wise, or two dimensional (2D) - working on spatial rows/columns of the ultra-spectral cube, as well as three dimensional (3D).

Original languageEnglish GB
DOIs
StatePublished - 1 Jan 2016
EventCompressive Sensing V: From Diverse Modalities to Big Data Analytics - Baltimore, United States
Duration: 20 Apr 201621 Apr 2016

Conference

ConferenceCompressive Sensing V: From Diverse Modalities to Big Data Analytics
Country/TerritoryUnited States
CityBaltimore
Period20/04/1621/04/16

Keywords

  • Compressing Sensing
  • Compressive imaging
  • Hyperspectral imaging
  • Separable Operators
  • Ultra-spectral imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Comparison between various patch wise strategies for reconstruction of ultra-spectral cubes captured with a compressive sensing system'. Together they form a unique fingerprint.

Cite this