Adaptive Perceptual Block Compressive Sensing for Image Compression

Jin XU; Yuansong QIAO; Zhizhong FU

doi:10.1587/transinf.2015EDL8230

Adaptive Perceptual Block Compressive Sensing for Image Compression

Jin XU, Yuansong QIAO, Zhizhong FU

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Because the perceptual compressive sensing framework can achieve a much better performance than the legacy compressive sensing framework, it is very promising for the compressive sensing based image compression system. In this paper, we propose an innovative adaptive perceptual block compressive sensing scheme. Firstly, a new block-based statistical metric which can more appropriately measure each block's sparsity and perceptual sensibility is devised. Then, the approximated theoretical minimum measurement number for each block is derived from the new block-based metric and used as weight for adaptive measurements allocation. The obtained experimental results show that our scheme can significantly enhance both objective and subjective performance of a perceptual compressive sensing framework.

Publication: IEICE TRANSACTIONS on Information Vol.E99-D No.6 pp.1702-1706

Publication Date: 2016/06/01

Publicized: 2016/03/09

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2015EDL8230

Type of Manuscript: LETTER

Category: Image Processing and Video Processing

Authors

Jin XU
  UESTC
Yuansong QIAO
  Athlone Institute of Technology
Zhizhong FU
  UESTC

Keyword

perceptual compressive sensing, adaptive measurements allocation, discrete cosine transform, image compression

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Jin XU, Yuansong QIAO, Zhizhong FU, "Adaptive Perceptual Block Compressive Sensing for Image Compression" in IEICE TRANSACTIONS on Information, vol. E99-D, no. 6, pp. 1702-1706, June 2016, doi: 10.1587/transinf.2015EDL8230.
Abstract: Because the perceptual compressive sensing framework can achieve a much better performance than the legacy compressive sensing framework, it is very promising for the compressive sensing based image compression system. In this paper, we propose an innovative adaptive perceptual block compressive sensing scheme. Firstly, a new block-based statistical metric which can more appropriately measure each block's sparsity and perceptual sensibility is devised. Then, the approximated theoretical minimum measurement number for each block is derived from the new block-based metric and used as weight for adaptive measurements allocation. The obtained experimental results show that our scheme can significantly enhance both objective and subjective performance of a perceptual compressive sensing framework.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8230/_p

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@ARTICLE{e99-d_6_1702,
author={Jin XU, Yuansong QIAO, Zhizhong FU, },
journal={IEICE TRANSACTIONS on Information},
title={Adaptive Perceptual Block Compressive Sensing for Image Compression},
year={2016},
volume={E99-D},
number={6},
pages={1702-1706},
abstract={Because the perceptual compressive sensing framework can achieve a much better performance than the legacy compressive sensing framework, it is very promising for the compressive sensing based image compression system. In this paper, we propose an innovative adaptive perceptual block compressive sensing scheme. Firstly, a new block-based statistical metric which can more appropriately measure each block's sparsity and perceptual sensibility is devised. Then, the approximated theoretical minimum measurement number for each block is derived from the new block-based metric and used as weight for adaptive measurements allocation. The obtained experimental results show that our scheme can significantly enhance both objective and subjective performance of a perceptual compressive sensing framework.},
keywords={},
doi={10.1587/transinf.2015EDL8230},
ISSN={1745-1361},
month={June},}

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TY - JOUR
TI - Adaptive Perceptual Block Compressive Sensing for Image Compression
T2 - IEICE TRANSACTIONS on Information
SP - 1702
EP - 1706
AU - Jin XU
AU - Yuansong QIAO
AU - Zhizhong FU
PY - 2016
DO - 10.1587/transinf.2015EDL8230
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2016
AB - Because the perceptual compressive sensing framework can achieve a much better performance than the legacy compressive sensing framework, it is very promising for the compressive sensing based image compression system. In this paper, we propose an innovative adaptive perceptual block compressive sensing scheme. Firstly, a new block-based statistical metric which can more appropriately measure each block's sparsity and perceptual sensibility is devised. Then, the approximated theoretical minimum measurement number for each block is derived from the new block-based metric and used as weight for adaptive measurements allocation. The obtained experimental results show that our scheme can significantly enhance both objective and subjective performance of a perceptual compressive sensing framework.
ER -