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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Region Adaptive Color Demosaicing Algorithm Using Color Constancy | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 271078 18 pages doi 10.1155 2010 271078 Research Article Region Adaptive Color Demosaicing Algorithm Using Color Constancy Chang Won Kim Hyun Mook Oh Du Sic Yoo and Moon Gi Kang TMS Institute of Information Technology Yonsei University 134 Sinchon-dong Seodaemun-gu Seoul 120-749 South Korea Correspondence should be addressed to Moon Gi Kang mkang@yonsei.ac.kr Received 7 October 2009 Revised 3 January 2010 Accepted 2 February 2010 Academic Editor Mark Liao Copyright 2010 Chang Won Kim et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. This paper proposes a novel way of combining color demosaicing and the auto white balance AWB method which are important parts of image processing. Performance of the AWB is generally affected by demosaicing results because most AWB algorithms are performed posterior to color demosaicing. In this paper in order to increase the performance and efficiency of the AWB algorithm the color constancy problem is examined during the color demosaicing step. Initial estimates of the directional luminance and chrominance values are defined for estimating edge direction and calculating the AWB gain. In order to prevent color failure in conventional edge-based AWB methods we propose a modified edge-based AWB method that used a predefined achromatic region. The estimation of edge direction is performed region adaptively by using the local statistics of the initial estimates of the luminance and chrominance information. Simulated and real Bayer color filter array CFA data are used to evaluate the performance of the proposed method. When compared to conventional methods the proposed method shows significant improvements in terms of visual and numerical criteria. 1. Introduction 1.1. .
