Perception of Image Characteristics with Compressive Measurements

Jie GUO; Bin SONG; Fang TIAN; Haixiao LIU; Hao QIN

doi:10.1587/transinf.2014EDL8168

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Jie GUO, Bin SONG, Fang TIAN, Haixiao LIU, Hao QIN, "Perception of Image Characteristics with Compressive Measurements" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 12, pp. 3234-3235, December 2014, doi: 10.1587/transinf.2014EDL8168.
Abstract: For compressed sensing, to address problems which do not involve reconstruction, a correlation analysis between measurements and the transform coefficients is proposed. It is shown that there is a linear relationship between them, which indicates that we can abstract the inner property of images directly in the measurement domain.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2014EDL8168/_p

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@ARTICLE{e97-d_12_3234,
author={Jie GUO, Bin SONG, Fang TIAN, Haixiao LIU, Hao QIN, },
journal={IEICE TRANSACTIONS on Information},
title={Perception of Image Characteristics with Compressive Measurements},
year={2014},
volume={E97-D},
number={12},
pages={3234-3235},
abstract={For compressed sensing, to address problems which do not involve reconstruction, a correlation analysis between measurements and the transform coefficients is proposed. It is shown that there is a linear relationship between them, which indicates that we can abstract the inner property of images directly in the measurement domain.},
keywords={},
doi={10.1587/transinf.2014EDL8168},
ISSN={1745-1361},
month={December},}

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TY - JOUR
TI - Perception of Image Characteristics with Compressive Measurements
T2 - IEICE TRANSACTIONS on Information
SP - 3234
EP - 3235
AU - Jie GUO
AU - Bin SONG
AU - Fang TIAN
AU - Haixiao LIU
AU - Hao QIN
PY - 2014
DO - 10.1587/transinf.2014EDL8168
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2014
AB - For compressed sensing, to address problems which do not involve reconstruction, a correlation analysis between measurements and the transform coefficients is proposed. It is shown that there is a linear relationship between them, which indicates that we can abstract the inner property of images directly in the measurement domain.
ER -