A simple spatial-spectral proximal compression method for high-dimensional imagery with proximal computing based blind reconstruction

T.-H. Lin, Chia-Hsiang Lin, Y. Liu, C.-H. Kao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing
Place of Publication	Hsinchu, Taiwan
Publication status	Accepted/In press - 2020 Aug 16

Cite this

@inproceedings{c87db493f03a440e864d7142e162063b,

title = "A simple spatial-spectral proximal compression method for high-dimensional imagery with proximal computing based blind reconstruction",

author = "T.-H. Lin and Chia-Hsiang Lin and Y. Liu and C.-H. Kao",

year = "2020",

month = aug,

day = "16",

language = "English",

booktitle = "The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing",

}

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A simple spatial-spectral proximal compression method for high-dimensional imagery with proximal computing based blind reconstruction

AU - Lin, T.-H.

AU - Lin, Chia-Hsiang

AU - Liu, Y.

AU - Kao, C.-H.

PY - 2020/8/16

Y1 - 2020/8/16

M3 - Conference contribution

BT - The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing

CY - Hsinchu, Taiwan

ER -