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

Sangyoon Lee, Moon Gi Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publicationAlgorithms and Systems XIII
EditorsAtanas P. Gotchev, Sos S. Agaian, Karen O. Egiazarian
ISBN (Electronic)9781628414899
Publication statusPublished - 2015
EventImage Processing: Algorithms and Systems XIII - San Francisco, United States
Duration: 2015 Feb 102015 Feb 11

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherImage Processing: Algorithms and Systems XIII
Country/TerritoryUnited States
CitySan Francisco

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


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