Extraction of the focused object in an image by filtering out the defocused background

Shih Min Kao; Taikang Ning; Cheng Wen Wu; Hui Peng

doi:10.1109/SIPNN.1994.344967

Extraction of the focused object in an image by filtering out the defocused background

Shih Min Kao, Taikang Ning, Cheng Wen Wu, Hui Peng

Department of Electrical Engineering

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

Abstract

Considers the problem of extracting the focused object in an image with defocused background. Such background blur is caused by the defocusing effect of the camera lens. These types of image appear quite often, such as in racing, imaging a person in a scene, imaging a close object of interest, etc... The authors propose to extract the focused object by filtering out the defocused background in those images. A filter is designed based on the optical property of the defocusing process. Such a filter together with some postprocessing techniques are applied to extract the focused objects in images with defocused background. Experiments show that the method is quite effective in doing the desired task.

Original language	English
Title of host publication	ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	53-56
Number of pages	4
ISBN (Electronic)	078031865X, 9780780318656
DOIs	https://doi.org/10.1109/SIPNN.1994.344967
Publication status	Published - 1994 Jan 1
Event	1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994 - Hong Kong, Hong Kong Duration: 1994 Apr 13 → 1994 Apr 16

Publication series

Name	ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings

Conference

Conference	1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994
Country/Territory	Hong Kong
City	Hong Kong
Period	94-04-13 → 94-04-16

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing
Linguistics and Language

Access to Document

10.1109/SIPNN.1994.344967

Cite this

Kao, S. M., Ning, T., Wu, C. W., & Peng, H. (1994). Extraction of the focused object in an image by filtering out the defocused background. In ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings (pp. 53-56). [344967] (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIPNN.1994.344967

Kao, Shih Min ; Ning, Taikang ; Wu, Cheng Wen ; Peng, Hui. / Extraction of the focused object in an image by filtering out the defocused background. ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc., 1994. pp. 53-56 (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings).

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title = "Extraction of the focused object in an image by filtering out the defocused background",

abstract = "Considers the problem of extracting the focused object in an image with defocused background. Such background blur is caused by the defocusing effect of the camera lens. These types of image appear quite often, such as in racing, imaging a person in a scene, imaging a close object of interest, etc... The authors propose to extract the focused object by filtering out the defocused background in those images. A filter is designed based on the optical property of the defocusing process. Such a filter together with some postprocessing techniques are applied to extract the focused objects in images with defocused background. Experiments show that the method is quite effective in doing the desired task.",

author = "Kao, {Shih Min} and Taikang Ning and Wu, {Cheng Wen} and Hui Peng",

year = "1994",

month = jan,

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doi = "10.1109/SIPNN.1994.344967",

language = "English",

series = "ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "53--56",

booktitle = "ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings",

address = "United States",

note = "1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994 ; Conference date: 13-04-1994 Through 16-04-1994",

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Kao, SM, Ning, T, Wu, CW & Peng, H 1994, Extraction of the focused object in an image by filtering out the defocused background. in ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings., 344967, ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 53-56, 1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994, Hong Kong, Hong Kong, 94-04-13. https://doi.org/10.1109/SIPNN.1994.344967

Extraction of the focused object in an image by filtering out the defocused background. / Kao, Shih Min; Ning, Taikang; Wu, Cheng Wen; Peng, Hui.

ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc., 1994. p. 53-56 344967 (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings).

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

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AB - Considers the problem of extracting the focused object in an image with defocused background. Such background blur is caused by the defocusing effect of the camera lens. These types of image appear quite often, such as in racing, imaging a person in a scene, imaging a close object of interest, etc... The authors propose to extract the focused object by filtering out the defocused background in those images. A filter is designed based on the optical property of the defocusing process. Such a filter together with some postprocessing techniques are applied to extract the focused objects in images with defocused background. Experiments show that the method is quite effective in doing the desired task.

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Kao SM, Ning T, Wu CW, Peng H. Extraction of the focused object in an image by filtering out the defocused background. In ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc. 1994. p. 53-56. 344967. (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings). https://doi.org/10.1109/SIPNN.1994.344967

Extraction of the focused object in an image by filtering out the defocused background

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