Demosaicing based on the correlations between low-resolution images

Mook Oh Hyun, Gi Kang Moon

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

Abstract

In this paper, an edge directed demosaicing method based on the correlation between low-resolution images is proposed. A masaiced image from a Bayer pattern is regarded as combination of four up-sampled low-resolution images. In the beginning of the interpolation of each channel, the images are pre-interpolated toward the horizontal and vertical direction. The variances on the directionally interpolated image and on the difference domain is calculated based on the within- and cross-channel channel correlation. The missing values of each image is determined by using the variances. In the experimental results, proposed method shows improved result in the subjective and objective criterions.

Original languageEnglish
Title of host publicationProceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007
Pages31-36
Number of pages6
Publication statusPublished - 2007 Dec 1
Event9th IASTED International Conference on Signal and Image Processing, SIP 2007 - Honolulu, HI, United States
Duration: 2007 Aug 202007 Aug 22

Publication series

NameProceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007

Other

Other9th IASTED International Conference on Signal and Image Processing, SIP 2007
CountryUnited States
CityHonolulu, HI
Period07/8/2007/8/22

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Hyun, M. O., & Moon, G. K. (2007). Demosaicing based on the correlations between low-resolution images. In Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007 (pp. 31-36). (Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007).