TY - GEN
T1 - Demosaicing using variable-size classifiers and proportional weights
AU - Su, Chung Yen
AU - Tseng, Jen Kang
PY - 2009
Y1 - 2009
N2 - Demosaicing is a process of interpolating the missing colors of color filter array. Recently, a quite good demosaicing method using directional filtering and a posteriori decision has been proposed. However, the window size of classifiers in the decision is fixed, which may not be suitable for different kinds of image area. To solve this problem, we present variable-size classifiers in this paper. The size of classifiers is varied according to the roughness measurement of neighbor pixels. In addition, a scheme of proportional weights is proposed to increase the interpolated image quality. Combined with a modified refining step, the proposed method increases a little computational cost but can elevate the peak-signal to noise ratio up to 1.09 dB on average.
AB - Demosaicing is a process of interpolating the missing colors of color filter array. Recently, a quite good demosaicing method using directional filtering and a posteriori decision has been proposed. However, the window size of classifiers in the decision is fixed, which may not be suitable for different kinds of image area. To solve this problem, we present variable-size classifiers in this paper. The size of classifiers is varied according to the roughness measurement of neighbor pixels. In addition, a scheme of proportional weights is proposed to increase the interpolated image quality. Combined with a modified refining step, the proposed method increases a little computational cost but can elevate the peak-signal to noise ratio up to 1.09 dB on average.
KW - Color interpolation
KW - Demosaicing
KW - Edge-adaptive interpolation
KW - Proportional weight
KW - Variable-size classifier
UR - http://www.scopus.com/inward/record.url?scp=77951942155&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951942155&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2009.5414343
DO - 10.1109/ICIP.2009.5414343
M3 - Conference contribution
AN - SCOPUS:77951942155
SN - 9781424456543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 493
EP - 496
BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PB - IEEE Computer Society
T2 - 2009 IEEE International Conference on Image Processing, ICIP 2009
Y2 - 7 November 2009 through 10 November 2009
ER -