TY - GEN
T1 - A universal full reference image quality metric based on a neural fusion approach
AU - Chetouani, Aladine
AU - Beghdadi, Azeddine
AU - Deriche, Mohamed
PY - 2010
Y1 - 2010
N2 - We present in this paper a new global Full-Reference (FR) image quality metric (IQM) based on the fusion of several conventional FR metrics using an ANN learning algorithm. The fusion is shown to result in improved performance compared to individual FR metrics. Indeed, existing FR metrics can provide excellent results for specific degradations but poor results for others. Here, we propose to overcome this limitation by first improving the performance of existing FR metrics across different degradations through a ranking process. Then, using an Artificial Neural Network, we fuse the best-performing measures into a single metric called Global Index Quality Metric (G-IQM). The experimental results using the TID 2008 image database demonstrate that this new G-IQM metric achieves consistent image quality evaluation results with subjective evaluation.
AB - We present in this paper a new global Full-Reference (FR) image quality metric (IQM) based on the fusion of several conventional FR metrics using an ANN learning algorithm. The fusion is shown to result in improved performance compared to individual FR metrics. Indeed, existing FR metrics can provide excellent results for specific degradations but poor results for others. Here, we propose to overcome this limitation by first improving the performance of existing FR metrics across different degradations through a ranking process. Then, using an Artificial Neural Network, we fuse the best-performing measures into a single metric called Global Index Quality Metric (G-IQM). The experimental results using the TID 2008 image database demonstrate that this new G-IQM metric achieves consistent image quality evaluation results with subjective evaluation.
KW - Artifacts
KW - Artificial neural networks
KW - Image quality
KW - Subjective scores
UR - https://www.scopus.com/pages/publications/78651072152
U2 - 10.1109/ICIP.2010.5652855
DO - 10.1109/ICIP.2010.5652855
M3 - Conference contribution
AN - SCOPUS:78651072152
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2517
EP - 2520
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
Y2 - 26 September 2010 through 29 September 2010
ER -