TY - GEN
T1 - Keypoint-based enhanced image quality assessment
AU - Zeng, Ming
AU - Liu, Jian
AU - Li, Youfu
AU - Meng, Qinghao
AU - Yang, Ting
AU - Bai, Zhengbiao
PY - 2011
Y1 - 2011
N2 - A simple objective quality assessment for enhanced images is proposed. It requires only scale-space keypoint information. Generally, the distribution of keypoints characterizes structural complexity of local regions. The process of quantitative evaluation involves four steps: The original image is first segmented into two parts (i.e. target region and background). Then, the key points in the original image and the enhanced image are extracted using the strategy of extrema in difference of Gaussian (DoG) scale space. The summed weights (SWs) of keypoints within the target region and background are computed respectively. Finally, the objective assessment result can be achieved by comparing the changes of SWs in two separate regions. The experimental results demonstrate that this proposed algorithm is feasible and effective. © 2011 Springer-Verlag.
AB - A simple objective quality assessment for enhanced images is proposed. It requires only scale-space keypoint information. Generally, the distribution of keypoints characterizes structural complexity of local regions. The process of quantitative evaluation involves four steps: The original image is first segmented into two parts (i.e. target region and background). Then, the key points in the original image and the enhanced image are extracted using the strategy of extrema in difference of Gaussian (DoG) scale space. The summed weights (SWs) of keypoints within the target region and background are computed respectively. Finally, the objective assessment result can be achieved by comparing the changes of SWs in two separate regions. The experimental results demonstrate that this proposed algorithm is feasible and effective. © 2011 Springer-Verlag.
KW - image enhancement
KW - image quality assessment
KW - keypoint detection
UR - http://www.scopus.com/inward/record.url?scp=79960423948&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-79960423948&origin=recordpage
U2 - 10.1007/978-3-642-22456-0_60
DO - 10.1007/978-3-642-22456-0_60
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783642224553
VL - 202 CCIS
T3 - Communications in Computer and Information Science
SP - 420
EP - 427
BT - Advances in Computer Science and Education Application
T2 - 2011 International Conference on Computer Science and Education, CSE 2011
Y2 - 9 July 2011 through 10 July 2011
ER -