Restoration of hot pixels in digital imagers using lossless approximation techniques

O. Hadar; A. Shleifer; E. Cohen; Y. Dotan

doi:10.1117/12.2186101

Restoration of hot pixels in digital imagers using lossless approximation techniques

O. Hadar, A. Shleifer, E. Cohen, Y. Dotan

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

2 Scopus citations

Abstract

During the last twenty years, digital imagers have spread into industrial and everyday devices, such as satellites, security cameras, cell phones, laptops and more. Hot pixels are the main defects in remote digital cameras. In this paper we prove an improvement of existing restoration methods that use (solely or as an auxiliary tool) some average of the surrounding single pixel, such as the method of the Chapman-Koren study ^1,2. The proposed method uses the CALIC algorithm and adapts it to a full use of the surrounding pixels.

Original language	English
Title of host publication	Applications of Digital Image Processing XXXVIII
Editors	Andrew G. Tescher, Andrew G. Tescher
Publisher	SPIE
ISBN (Electronic)	9781628417654, 9781628417654
DOIs	https://doi.org/10.1117/12.2186101
State	Published - 2015
Externally published	Yes
Event	Applications of Digital Image Processing XXXVIII - San Diego, United States Duration: 10 Aug 2015 → 13 Aug 2015

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9599
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Applications of Digital Image Processing XXXVIII
Country/Territory	United States
City	San Diego
Period	10/08/15 → 13/08/15

Bibliographical note

Publisher Copyright:
© 2015 SPIE.

Keywords

CALIC
Hot pixel
image restoration
pixel correction
prediction

Access to Document

10.1117/12.2186101

Cite this

Hadar, O., Shleifer, A., Cohen, E., & Dotan, Y. (2015). Restoration of hot pixels in digital imagers using lossless approximation techniques. In A. G. Tescher, & A. G. Tescher (Eds.), Applications of Digital Image Processing XXXVIII Article 959931 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9599). SPIE. https://doi.org/10.1117/12.2186101

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title = "Restoration of hot pixels in digital imagers using lossless approximation techniques",

abstract = "During the last twenty years, digital imagers have spread into industrial and everyday devices, such as satellites, security cameras, cell phones, laptops and more. Hot pixels are the main defects in remote digital cameras. In this paper we prove an improvement of existing restoration methods that use (solely or as an auxiliary tool) some average of the surrounding single pixel, such as the method of the Chapman-Koren study 1,2. The proposed method uses the CALIC algorithm and adapts it to a full use of the surrounding pixels.",

keywords = "CALIC, Hot pixel, image restoration, pixel correction, prediction",

author = "O. Hadar and A. Shleifer and E. Cohen and Y. Dotan",

note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Applications of Digital Image Processing XXXVIII ; Conference date: 10-08-2015 Through 13-08-2015",

year = "2015",

doi = "10.1117/12.2186101",

language = "אנגלית",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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Hadar, O, Shleifer, A, Cohen, E & Dotan, Y 2015, Restoration of hot pixels in digital imagers using lossless approximation techniques. in AG Tescher & AG Tescher (eds), Applications of Digital Image Processing XXXVIII., 959931, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9599, SPIE, Applications of Digital Image Processing XXXVIII, San Diego, United States, 10/08/15. https://doi.org/10.1117/12.2186101

Restoration of hot pixels in digital imagers using lossless approximation techniques. / Hadar, O.; Shleifer, A.; Cohen, E. et al.
Applications of Digital Image Processing XXXVIII. ed. / Andrew G. Tescher; Andrew G. Tescher. SPIE, 2015. 959931 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9599).

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

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Restoration of hot pixels in digital imagers using lossless approximation techniques

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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