TY  - JOUR
T1  - Contrast Enhancement in Retinal Image via Multi-Scale Geometrical Analysis
AU - , Mi Deling AU - , Feng Peng AU - , Pan Yingjun AU - , Pan Yingjun AU - , Jin Wei 
JO  - Asian Journal of Information Technology
VL  - 6
IS  - 9
SP  - 986
EP  - 990
PY  - 2007
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2007.986.990
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2007.986.990
KW  - Contourlet transform
KW  -contrast enhancement
KW  -curvelet transform
KW  -Multi-scale Geometric Analysis (MGA)
AB  - We present in this study, a new Multi-scale Geometrical Analysis method for ophthalmic image contrast enhancement based on the contourlet transform. The contourlet transform has better performace in representing edges than wavelets due to its anisotropy and directionality and is therefore, well-suited for multiscale edge enhancement. We modify the contourlet coefficients in corresponding subband and take the noise into account for more precisely reconstruction and better visualization. We compare this approach with enhancement based on the curvelet transform, and the traditional Histogram Stretching (HS). Our findings are that contourlet based enhancement out-performs other enhancement methods on low contrast and dynamic range images and can clearly identify the vessels and nerves in ophthalmic image.
ER  -