Quality evaluation of impressed infrared images

Yi Dong; Wei Qi Jin; Fu Yuan Huang; Miao Zhang

Quality evaluation of impressed infrared images

Yi Dong^*
, Wei Qi Jin
, Fu Yuan Huang
, Miao Zhang

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology
North China Research Institute of Electro-Optics
Beijing Martial Delegate Agency

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

1 Citation (Scopus)

Abstract

As a kind of special images, infrared images have to be compressed for proper transfer and storage. The traditional method, which is based on MSE to objectively evaluate the quality of impressed images, sometimes cannot conform to effect of human vision perception. Edge mean square error is defined according to human vision system and a better evaluation result conforming is provided to human vision. Different thermal image compression algorithms are described. It is improved that edge mean square error is more reasonable to evaluate the images.

Original language	English
Pages (from-to)	347-349
Number of pages	3
Journal	Guangxue Jishu/Optical Technique
Volume	33
Issue number	SUPPL.
Publication status	Published - Nov 2007

Keywords

Human vision
Image compression
Image quality evaluation
Infrared image

Cite this

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title = "Quality evaluation of impressed infrared images",

abstract = "As a kind of special images, infrared images have to be compressed for proper transfer and storage. The traditional method, which is based on MSE to objectively evaluate the quality of impressed images, sometimes cannot conform to effect of human vision perception. Edge mean square error is defined according to human vision system and a better evaluation result conforming is provided to human vision. Different thermal image compression algorithms are described. It is improved that edge mean square error is more reasonable to evaluate the images.",

keywords = "Human vision, Image compression, Image quality evaluation, Infrared image",

author = "Yi Dong and Jin, \{Wei Qi\} and Huang, \{Fu Yuan\} and Miao Zhang",

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AU - Jin, Wei Qi

AU - Huang, Fu Yuan

AU - Zhang, Miao

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N2 - As a kind of special images, infrared images have to be compressed for proper transfer and storage. The traditional method, which is based on MSE to objectively evaluate the quality of impressed images, sometimes cannot conform to effect of human vision perception. Edge mean square error is defined according to human vision system and a better evaluation result conforming is provided to human vision. Different thermal image compression algorithms are described. It is improved that edge mean square error is more reasonable to evaluate the images.

AB - As a kind of special images, infrared images have to be compressed for proper transfer and storage. The traditional method, which is based on MSE to objectively evaluate the quality of impressed images, sometimes cannot conform to effect of human vision perception. Edge mean square error is defined according to human vision system and a better evaluation result conforming is provided to human vision. Different thermal image compression algorithms are described. It is improved that edge mean square error is more reasonable to evaluate the images.

KW - Human vision

KW - Image compression

KW - Image quality evaluation

KW - Infrared image

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M3 - Article

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Quality evaluation of impressed infrared images

Abstract

Keywords

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