Demosaicing of color filter array captured images using gradient edge detection masks and adaptive heterogeneity-projection

Kuo-Liang Chung; Wei-Jen Yang; Wen-Ming Yan; Chung-Chou Wang

doi:10.1109/TIP.2008.2005561

Demosaicing of color filter array captured images using gradient edge detection masks and adaptive heterogeneity-projection

IEEE Trans Image Process. 2008 Dec;17(12):2356-67. doi: 10.1109/TIP.2008.2005561.

Authors

Kuo-Liang Chung¹, Wei-Jen Yang, Wen-Ming Yan, Chung-Chou Wang

Affiliation

¹ Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology No. 43, Taipei, Taiwan 10672, ROC. k.l.chung@mail.ntust.edu.tw

PMID: 19004708
DOI: 10.1109/TIP.2008.2005561

Abstract

Without demosaicing processing, this paper first proposes a new approach to extract more accurate gradient/edge information on mosaic images directly. Next, based on spectral-spatial correlation, a novel adaptive heterogeneity-projection with proper mask size for each pixel is presented. Combining the extracted gradient/edge information and the adaptive heterogeneity-projection values, a new edge-sensing demosaicing algorithm is presented. Based on 24 popular testing images, experimental results demonstrated that our proposed high-quality demosaicing algorithm has the best image quality performance when compared with several recently published algorithms.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artificial Intelligence*
Color*
Colorimetry / methods*
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity