Noise insensitive demosaicing algorithm

Changwon Kim, Moongi Kang, Sungdae Cho, Sangwook Oh, Hyunhee Park, Minkyu Park

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

1 Citation (Scopus)

Abstract

The problem of recovering full-color images from a noisy and color-sampled observation is considered in this paper. Instead of removing the sensor noise before or after the color interpolation step, we propose a novel technique to combine demosaicing and denoising procedures simultaneously. In order to avoid artifacts in high frequency regions and improve the performance, an edge indicator function is used and horizontal and vertical direction of edges are considered in the proposed method, while noise is simultaneously removed by adaptive denoising. As a postprocessing, the modified filtering o n color difference domain is adopted to improve the quality of the image. Experimental results illustrate the benefits of the proposed method. When compared to the conventional methods, the proposed method outperforms them on quantitative and qualitative criteria.

Original languageEnglish
Title of host publicationProceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007
Pages419-424
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

    Kim, C., Kang, M., Cho, S., Oh, S., Park, H., & Park, M. (2007). Noise insensitive demosaicing algorithm. In Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007 (pp. 419-424). (Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007).