TY - GEN
T1 - Gradient domain contrast enhancement with histogram-guided boundary conditions
AU - Lee, Chulwoo
AU - Lee, Chul
AU - Kim, Chang-Su
PY - 2011
Y1 - 2011
N2 - A novel contrast enhancement algorithm with histogram-guided boundary conditions is proposed in this work. The proposed algorithm enhances details in local regions by boosting gradient components, while improving the overall contrast by imposing boundary conditions based on a global transformation function. Moreover, we develop an efficient masking scheme, called the soft masking, to strike the balance between the global enhancement and the local enhancement. Simulation results demonstrate that the proposed algorithm can yield high quality output images by improving both global and local contrast simultaneously.
AB - A novel contrast enhancement algorithm with histogram-guided boundary conditions is proposed in this work. The proposed algorithm enhances details in local regions by boosting gradient components, while improving the overall contrast by imposing boundary conditions based on a global transformation function. Moreover, we develop an efficient masking scheme, called the soft masking, to strike the balance between the global enhancement and the local enhancement. Simulation results demonstrate that the proposed algorithm can yield high quality output images by improving both global and local contrast simultaneously.
KW - Gradient domain image processing
KW - contrast enhancement
KW - histogram equalization
KW - image enhancement
UR - https://www.scopus.com/pages/publications/84863048227
UR - https://www.scopus.com/inward/citedby.url?scp=84863048227&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116450
DO - 10.1109/ICIP.2011.6116450
M3 - Conference contribution
AN - SCOPUS:84863048227
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3433
EP - 3436
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -