Noise insensitive high resolution demosaicing algorithm considering cross-channel correlation

Chang Won Kim, Moon Gi Kang

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

6 Citations (Scopus)

Abstract

The problem of recovering full-color images from a noisy and color-sampled observation is considered in this paper. The noise in imaging sensors corrupts the color filter array (CFA) and introduces artifacts during the color interpolation step. Instead of filtering the noise before or after the color interpolation step, we remove the noise during the color interpolation step. This allows us to obtain a color interpolated image without noise and artifacts especially along the edges and in the detail of the image. Color interpolation is carried out on the weighted color difference domain to consider cross-channel correlation. In order to avoid artifacts in high frequency regions and improve the performance, an edge indicator function is used and directions of edges are considered in the proposed interpolation method. Interpolation artifacts are removed by the modified filtering on color difference domain. Experimental results illustrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages1100-1103
Number of pages4
DOIs
Publication statusPublished - 2005 Dec 1
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: 2005 Sep 112005 Sep 14

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume3
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period05/9/1105/9/14

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Kim, C. W., & Kang, M. G. (2005). Noise insensitive high resolution demosaicing algorithm considering cross-channel correlation. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 1100-1103). [1530588] (Proceedings - International Conference on Image Processing, ICIP; Vol. 3). https://doi.org/10.1109/ICIP.2005.1530588