Báo cáo hóa học: " Research Article Edge Adaptive Color Demosaicking Based on the Spatial Correlation of the Bayer Color Difference"

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 Edge Adaptive Color Demosaicking Based on the Spatial Correlation of the Bayer Color Difference | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2010 Article ID 874364 14 pages doi 2010 874364 Research Article Edge Adaptive Color Demosaicking Based on the Spatial Correlation of the Bayer Color Difference Hyun Mook Oh Chang Won Kim Young Seok Han and Moon Gi Kang TMS Institute of Information Technology Yonsei University 134 Shinchon-Dong Seodaemun-Gu Seoul 120-749 Republic of Korea Correspondence should be addressed to Moon Gi Kang mkang@ Received 10 April 2010 Revised 25 June 2010 Accepted 24 September 2010 Academic Editor Lei Zhang Copyright 2010 Hyun Mook Oh 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. An edge adaptive color demosaicking algorithm that classifies the region types and estimates the edge direction on the Bayer color filter array CFA samples is proposed. In the proposed method the optimal edge direction is estimated based on the spatial correlation on the Bayer color difference plane which adopts the local directional correlation of an edge region of the Bayer CFA samples. To improve the image quality with the consistent edge direction we classify the region of an image into three different types such as edge edge pattern and flat regions. Based on the region types the proposed method estimates the edge direction adaptive to the regions. As a result the proposed method reconstructs clear edges with reduced visual distortions in the edge and the edge pattern regions. Experimental results show that the proposed method outperforms conventional edge-directed methods on objective and subjective criteria. 1. Introduction Single chip CCD or CMOS imaging sensors are widely used in digital still cameras DSCs to reduce the cost and size of the equipments. Such imaging sensors obtain pixel information through a color filter array

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