Measurement quantization and rate allocation in compressive imaging and image compression

Yuzhang Lin, Amit Ashok

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an analysis of measurement quantization and rate allocation problems in compressive imaging and quantify its impact on image formation. Compressive imaging is compared with traditional image compression with respect to measurement data size.

Original languageEnglish (US)
Title of host publicationAdaptive Optics: Analysis, Methods and Systems, AO 2015
PublisherOptical Society of America (OSA)
Pages289
Number of pages1
ISBN (Print)9781943580002
DOIs
Publication statusPublished - 2015
EventAdaptive Optics: Analysis, Methods and Systems, AO 2015 - Arlington, United States
Duration: Jun 7 2015Jun 11 2015

Other

OtherAdaptive Optics: Analysis, Methods and Systems, AO 2015
CountryUnited States
CityArlington
Period6/7/156/11/15

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Lin, Y., & Ashok, A. (2015). Measurement quantization and rate allocation in compressive imaging and image compression. In Adaptive Optics: Analysis, Methods and Systems, AO 2015 (pp. 289). Optical Society of America (OSA). https://doi.org/10.1364/AOMS.2015.JT5A.37