The research of a new auto target recognition directed image compression

Yanxing Song; Feng Yuan

doi:10.1109/CISP.2010.5646343

The research of a new auto target recognition directed image compression

Yanxing Song^*
, Feng Yuan

^*Corresponding author for this work

School of Instrumentation Science and Engineering

Institute of Disaster Prevention Science and Technology

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

2 Scopus citations

Abstract

An improving auto target recognition directed (IATR-Directed) image compression algorithm based on the traditional auto target recognition directed (ATR-Directed) image compression was presented. The algorithm decomposed an image by morphology Haar wavelet, then used morphological region of interest (ROI) detection operator to find the targets ROI, by which partitioned the low-frequency morphological wavelet coefficients into three coding map, at last, chose the adaptive arithmetic coding method to code different coding map. Extensive experiments has shown that IATR-Directed image compression could compress the image with simple operations, and can save the information of the targets effectively, and it is very competitive compared with other methods.

Original language	English
Title of host publication	Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Pages	224-228
Number of pages	5
DOIs	https://doi.org/10.1109/CISP.2010.5646343
State	Published - 2010
Event	2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, China Duration: 16 Oct 2010 → 18 Oct 2010

Publication series

Name	Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Volume	1

Conference

Conference	2010 3rd International Congress on Image and Signal Processing, CISP 2010
Country/Territory	China
City	Yantai
Period	16/10/10 → 18/10/10

Keywords

ATR-directed
Image coding
Morphology Haar wavelet
Region of interest

Access to Document

10.1109/CISP.2010.5646343

Cite this

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title = "The research of a new auto target recognition directed image compression",

abstract = "An improving auto target recognition directed (IATR-Directed) image compression algorithm based on the traditional auto target recognition directed (ATR-Directed) image compression was presented. The algorithm decomposed an image by morphology Haar wavelet, then used morphological region of interest (ROI) detection operator to find the targets ROI, by which partitioned the low-frequency morphological wavelet coefficients into three coding map, at last, chose the adaptive arithmetic coding method to code different coding map. Extensive experiments has shown that IATR-Directed image compression could compress the image with simple operations, and can save the information of the targets effectively, and it is very competitive compared with other methods.",

keywords = "ATR-directed, Image coding, Morphology Haar wavelet, Region of interest",

author = "Yanxing Song and Feng Yuan",

year = "2010",

doi = "10.1109/CISP.2010.5646343",

language = "英语",

isbn = "9781424465149",

series = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",

pages = "224--228",

booktitle = "Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010",

note = "2010 3rd International Congress on Image and Signal Processing, CISP 2010 ; Conference date: 16-10-2010 Through 18-10-2010",

}

Song, Y & Yuan, F 2010, The research of a new auto target recognition directed image compression. in Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010., 5646343, Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010, vol. 1, pp. 224-228, 2010 3rd International Congress on Image and Signal Processing, CISP 2010, Yantai, China, 16/10/10. https://doi.org/10.1109/CISP.2010.5646343

The research of a new auto target recognition directed image compression. / Song, Yanxing; Yuan, Feng.
Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010. 2010. p. 224-228 5646343 (Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010; Vol. 1).

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

TY - GEN

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AU - Song, Yanxing

AU - Yuan, Feng

PY - 2010

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N2 - An improving auto target recognition directed (IATR-Directed) image compression algorithm based on the traditional auto target recognition directed (ATR-Directed) image compression was presented. The algorithm decomposed an image by morphology Haar wavelet, then used morphological region of interest (ROI) detection operator to find the targets ROI, by which partitioned the low-frequency morphological wavelet coefficients into three coding map, at last, chose the adaptive arithmetic coding method to code different coding map. Extensive experiments has shown that IATR-Directed image compression could compress the image with simple operations, and can save the information of the targets effectively, and it is very competitive compared with other methods.

AB - An improving auto target recognition directed (IATR-Directed) image compression algorithm based on the traditional auto target recognition directed (ATR-Directed) image compression was presented. The algorithm decomposed an image by morphology Haar wavelet, then used morphological region of interest (ROI) detection operator to find the targets ROI, by which partitioned the low-frequency morphological wavelet coefficients into three coding map, at last, chose the adaptive arithmetic coding method to code different coding map. Extensive experiments has shown that IATR-Directed image compression could compress the image with simple operations, and can save the information of the targets effectively, and it is very competitive compared with other methods.

KW - ATR-directed

KW - Image coding

KW - Morphology Haar wavelet

KW - Region of interest

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DO - 10.1109/CISP.2010.5646343

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BT - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

T2 - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

Y2 - 16 October 2010 through 18 October 2010

ER -

The research of a new auto target recognition directed image compression

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Keywords

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