Joint demosaicking and integer-ratio downsampling algorithm for color filter array image

Sangyoon Lee; Moon Gi Kang

doi:10.1117/12.2083177

Joint demosaicking and integer-ratio downsampling algorithm for color filter array image

Sangyoon Lee, Moon Gi Kang

Department of Electrical and Electronic Engineering

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

Abstract

This paper presents a joint demosacking and integer-ratio downsampling algorithm for color filter array (CFA) images. Color demosaicking is a necessary part of image signal processing to obtain full color image for digital image recording system using single sensor. Also, such as mobile devices, the obtained image from sensor has to be downsampled to be display because the resolution of display is smaller than that of image. The conventional method is "Demosaicking first and downsampling later". However, this procedure requires a significant hardware resources and computational cost. In this paper, we proposed a method in which demosaicking and downsampling are working simultaneously. We analyze the Bayer CFA image in frequency domain, and then joint demosaicking and downsampling with integer-ratio scheme based on signal decomposition of luma and chrominance components. Experimental results show that the proposed method produces the high quality performance with much lower computational cost and less hardware resources.

Original language	English
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publication	Algorithms and Systems XIII
Editors	Atanas P. Gotchev, Sos S. Agaian, Karen O. Egiazarian
Publisher	SPIE
ISBN (Electronic)	9781628414899
DOIs	https://doi.org/10.1117/12.2083177
Publication status	Published - 2015
Event	Image Processing: Algorithms and Systems XIII - San Francisco, United States Duration: 2015 Feb 10 → 2015 Feb 11

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9399
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Other

Other	Image Processing: Algorithms and Systems XIII
Country/Territory	United States
City	San Francisco
Period	15/2/10 → 15/2/11

Bibliographical note

Publisher Copyright:
© 2015 SPIE-IS&T.

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2083177

Cite this

Lee, S., & Kang, M. G. (2015). Joint demosaicking and integer-ratio downsampling algorithm for color filter array image. In A. P. Gotchev, S. S. Agaian, & K. O. Egiazarian (Eds.), Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XIII [93990A] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9399). SPIE. https://doi.org/10.1117/12.2083177

Lee, Sangyoon ; Kang, Moon Gi. / Joint demosaicking and integer-ratio downsampling algorithm for color filter array image. Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XIII. editor / Atanas P. Gotchev ; Sos S. Agaian ; Karen O. Egiazarian. SPIE, 2015. (Proceedings of SPIE - The International Society for Optical Engineering).

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title = "Joint demosaicking and integer-ratio downsampling algorithm for color filter array image",

abstract = "This paper presents a joint demosacking and integer-ratio downsampling algorithm for color filter array (CFA) images. Color demosaicking is a necessary part of image signal processing to obtain full color image for digital image recording system using single sensor. Also, such as mobile devices, the obtained image from sensor has to be downsampled to be display because the resolution of display is smaller than that of image. The conventional method is {"}Demosaicking first and downsampling later{"}. However, this procedure requires a significant hardware resources and computational cost. In this paper, we proposed a method in which demosaicking and downsampling are working simultaneously. We analyze the Bayer CFA image in frequency domain, and then joint demosaicking and downsampling with integer-ratio scheme based on signal decomposition of luma and chrominance components. Experimental results show that the proposed method produces the high quality performance with much lower computational cost and less hardware resources.",

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Lee, S & Kang, MG 2015, Joint demosaicking and integer-ratio downsampling algorithm for color filter array image. in AP Gotchev, SS Agaian & KO Egiazarian (eds), Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XIII., 93990A, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9399, SPIE, Image Processing: Algorithms and Systems XIII, San Francisco, United States, 15/2/10. https://doi.org/10.1117/12.2083177

Joint demosaicking and integer-ratio downsampling algorithm for color filter array image. / Lee, Sangyoon; Kang, Moon Gi.

Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XIII. ed. / Atanas P. Gotchev; Sos S. Agaian; Karen O. Egiazarian. SPIE, 2015. 93990A (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9399).

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

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N2 - This paper presents a joint demosacking and integer-ratio downsampling algorithm for color filter array (CFA) images. Color demosaicking is a necessary part of image signal processing to obtain full color image for digital image recording system using single sensor. Also, such as mobile devices, the obtained image from sensor has to be downsampled to be display because the resolution of display is smaller than that of image. The conventional method is "Demosaicking first and downsampling later". However, this procedure requires a significant hardware resources and computational cost. In this paper, we proposed a method in which demosaicking and downsampling are working simultaneously. We analyze the Bayer CFA image in frequency domain, and then joint demosaicking and downsampling with integer-ratio scheme based on signal decomposition of luma and chrominance components. Experimental results show that the proposed method produces the high quality performance with much lower computational cost and less hardware resources.

AB - This paper presents a joint demosacking and integer-ratio downsampling algorithm for color filter array (CFA) images. Color demosaicking is a necessary part of image signal processing to obtain full color image for digital image recording system using single sensor. Also, such as mobile devices, the obtained image from sensor has to be downsampled to be display because the resolution of display is smaller than that of image. The conventional method is "Demosaicking first and downsampling later". However, this procedure requires a significant hardware resources and computational cost. In this paper, we proposed a method in which demosaicking and downsampling are working simultaneously. We analyze the Bayer CFA image in frequency domain, and then joint demosaicking and downsampling with integer-ratio scheme based on signal decomposition of luma and chrominance components. Experimental results show that the proposed method produces the high quality performance with much lower computational cost and less hardware resources.

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Lee S, Kang MG. Joint demosaicking and integer-ratio downsampling algorithm for color filter array image. In Gotchev AP, Agaian SS, Egiazarian KO, editors, Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XIII. SPIE. 2015. 93990A. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2083177

Joint demosaicking and integer-ratio downsampling algorithm for color filter array image

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