TY - GEN
T1 - No-reference objective wavelet based noise immune image sharpness metric
AU - Ferzli, R.
AU - Karam, Lina
PY - 2005/12/1
Y1 - 2005/12/1
N2 - This paper focuses on no-reference image sharpness/blurriness metrics due to their importance in image, video, and biomedical applications. Simulation results show that existing no-reference objective image sharpness metrics fail to predict correctly the sharpness of images in the presence of noise. A noise-immune wavelet-based sharpness metric is proposed based on the Lipschitz regularity for differentiating between edges and noise singularities. Comparison results reveal the superiority of the proposed method when dealing with a moderate noisy environment.
AB - This paper focuses on no-reference image sharpness/blurriness metrics due to their importance in image, video, and biomedical applications. Simulation results show that existing no-reference objective image sharpness metrics fail to predict correctly the sharpness of images in the presence of noise. A noise-immune wavelet-based sharpness metric is proposed based on the Lipschitz regularity for differentiating between edges and noise singularities. Comparison results reveal the superiority of the proposed method when dealing with a moderate noisy environment.
KW - Blurriness
KW - No-reference quality metric
KW - Noise immune sharpness metric
KW - Sharpness
UR - http://www.scopus.com/inward/record.url?scp=33749603032&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749603032&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2005.1529773
DO - 10.1109/ICIP.2005.1529773
M3 - Conference contribution
AN - SCOPUS:33749603032
SN - 0780391349
SN - 9780780391345
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 405
EP - 408
BT - IEEE International Conference on Image Processing 2005, ICIP 2005
T2 - IEEE International Conference on Image Processing 2005, ICIP 2005
Y2 - 11 September 2005 through 14 September 2005
ER -