Example-Based Quality Estimation for Compressed Images

Ci Wang; Haoyuan Dong; Zhikai Wu; Yap Peng Tan

doi:10.1109/MMUL.2010.5692183

Example-Based Quality Estimation for Compressed Images

Ci Wang, Haoyuan Dong, Zhikai Wu, Yap Peng Tan

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

3 Scopus citations

Abstract

A method to estimate the peak signal-to-noise ratio of an image performs more accurately and has a smaller estimation bias and variance compared to the existing methods.

Original language	English
Pages (from-to)	54-61
Number of pages	8
Journal	IEEE Multimedia
Volume	17
Issue number	3
DOIs	https://doi.org/10.1109/MMUL.2010.5692183
State	Published - 2010
Externally published	Yes

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10.1109/MMUL.2010.5692183

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title = "Example-Based Quality Estimation for Compressed Images",

abstract = "A method to estimate the peak signal-to-noise ratio of an image performs more accurately and has a smaller estimation bias and variance compared to the existing methods.",

author = "Ci Wang and Haoyuan Dong and Zhikai Wu and Tan, \{Yap Peng\}",

year = "2010",

doi = "10.1109/MMUL.2010.5692183",

language = "英语",

volume = "17",

pages = "54--61",

journal = "IEEE Multimedia",

issn = "1070-986X",

publisher = "IEEE Computer Society",

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TY - JOUR

T1 - Example-Based Quality Estimation for Compressed Images

AU - Wang, Ci

AU - Dong, Haoyuan

AU - Wu, Zhikai

AU - Tan, Yap Peng

PY - 2010

Y1 - 2010

N2 - A method to estimate the peak signal-to-noise ratio of an image performs more accurately and has a smaller estimation bias and variance compared to the existing methods.

AB - A method to estimate the peak signal-to-noise ratio of an image performs more accurately and has a smaller estimation bias and variance compared to the existing methods.

UR - https://www.scopus.com/pages/publications/85008049447

U2 - 10.1109/MMUL.2010.5692183

DO - 10.1109/MMUL.2010.5692183

M3 - 文章

AN - SCOPUS:85008049447

SN - 1070-986X

VL - 17

SP - 54

EP - 61

JO - IEEE Multimedia

JF - IEEE Multimedia

IS - 3

ER -

Example-Based Quality Estimation for Compressed Images

Abstract

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