Fast regularized image interpolation method

Hongchen Liu; Yong Feng; Linjing Li

Fast regularized image interpolation method

Hongchen Liu^*
, Yong Feng
, Linjing Li

^*Corresponding author for this work

School of Electrical Engineering and Automation

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The regularized image interpolation method is widely used based on the vector interpolation model in which down-sampling matrix has very large dimension and needs large storage consumption and higher computation complexity. In this paper, a fast algorithm for image interpolation based on the tensor product of matrices is presented, which transforms the vector interpolation model to matrix form. The proposed algorithm can extremely reduce the storage requirement and time consumption. The simulation results verify their validity.

Original language	English
Pages (from-to)	149-152
Number of pages	4
Journal	Chinese Optics Letters
Volume	5
Issue number	3
State	Published - Mar 2007

Cite this

@article{fb9f1d598ab444c28e236fb0e746e8d4,

title = "Fast regularized image interpolation method",

abstract = "The regularized image interpolation method is widely used based on the vector interpolation model in which down-sampling matrix has very large dimension and needs large storage consumption and higher computation complexity. In this paper, a fast algorithm for image interpolation based on the tensor product of matrices is presented, which transforms the vector interpolation model to matrix form. The proposed algorithm can extremely reduce the storage requirement and time consumption. The simulation results verify their validity.",

author = "Hongchen Liu and Yong Feng and Linjing Li",

year = "2007",

month = mar,

language = "英语",

volume = "5",

pages = "149--152",

journal = "Chinese Optics Letters",

issn = "1671-7694",

publisher = "Optica Publishing Group (formerly OSA)",

number = "3",

}

TY - JOUR

T1 - Fast regularized image interpolation method

AU - Liu, Hongchen

AU - Feng, Yong

AU - Li, Linjing

PY - 2007/3

Y1 - 2007/3

N2 - The regularized image interpolation method is widely used based on the vector interpolation model in which down-sampling matrix has very large dimension and needs large storage consumption and higher computation complexity. In this paper, a fast algorithm for image interpolation based on the tensor product of matrices is presented, which transforms the vector interpolation model to matrix form. The proposed algorithm can extremely reduce the storage requirement and time consumption. The simulation results verify their validity.

AB - The regularized image interpolation method is widely used based on the vector interpolation model in which down-sampling matrix has very large dimension and needs large storage consumption and higher computation complexity. In this paper, a fast algorithm for image interpolation based on the tensor product of matrices is presented, which transforms the vector interpolation model to matrix form. The proposed algorithm can extremely reduce the storage requirement and time consumption. The simulation results verify their validity.

UR - https://www.scopus.com/pages/publications/34248168495

M3 - 文章

AN - SCOPUS:34248168495

SN - 1671-7694

VL - 5

SP - 149

EP - 152

JO - Chinese Optics Letters

JF - Chinese Optics Letters

IS - 3

ER -

Fast regularized image interpolation method

Abstract

Other files and links

Fingerprint

Cite this