TY - GEN
T1 - Automatic ringing artifact detection in restoring blurred face images
AU - Kao, Wen Chung
AU - Chiu, Chih Hsiang
AU - Yang, Yueh Yiing
PY - 2009
Y1 - 2009
N2 - Restoring blurred images by blind deconvolution has been extensively studied for a long time. But a general solution for deblurring any out-of-focus images is still a big challenge. In this paper, we present a new face image restoration approach based on Wiener filter and pattern recognition techniques. By trying several radii of circle of confusion (COC) used in Wiener filter and applying local contrast enhancement (LCE) to further enhance the textures of deblurred images, the proposed system can automatically determine the best deconvolution radius of COC such that the deblurred image has less ringing artifacts.
AB - Restoring blurred images by blind deconvolution has been extensively studied for a long time. But a general solution for deblurring any out-of-focus images is still a big challenge. In this paper, we present a new face image restoration approach based on Wiener filter and pattern recognition techniques. By trying several radii of circle of confusion (COC) used in Wiener filter and applying local contrast enhancement (LCE) to further enhance the textures of deblurred images, the proposed system can automatically determine the best deconvolution radius of COC such that the deblurred image has less ringing artifacts.
UR - http://www.scopus.com/inward/record.url?scp=77950650502&partnerID=8YFLogxK
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U2 - 10.1109/MWSCAS.2009.5235882
DO - 10.1109/MWSCAS.2009.5235882
M3 - Conference contribution
AN - SCOPUS:77950650502
SN - 9781424444793
T3 - Midwest Symposium on Circuits and Systems
SP - 770
EP - 773
BT - 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
T2 - 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
Y2 - 2 August 2009 through 5 August 2009
ER -