# Full-Reference Image Quality Assessment Based on Multi-Channel Visual Information Fusion
## 2 Proposed Method
### MVFC Method
 & **SSIM** & **VIF** & **MAD** & **FSIMc** & **GMSD** & **VSI** & **GSM** & **RVISM** & **CVSS** & **CAGS** & **Proposed** \\ \hline \multirow{9}{*}{TID2013} & AGN & 0.8599 & 0.8555 & 0.8846 & 0.9151 & **0.9494** & **0.9515** & 0.9129 & 0.8674 & 0.9454 & 0.9395 & **0.9537** \\  & ANC & 0.7811 & 0.8169 & 0.8302 & 0.8869 & **0.9133** & **0.9170** & 0.8576 & 0.8331 & 0.9048 & 0.8835 & **0.9138** \\  & SCN & 0.8502 & 0.8680 & 0.8835 & 0.8240 & **0.9389** & **0.9441** & 0.9257 & 0.8474 & 0.9206 & 0.8637 & **0.9470** \\  & MN & 0.8231 & **0.8627** & 0.7858 & **0.8478** & 0.7514 & 0.811 & 0.7834 & **0.8600** & 0.8039 & 0.7975 & 0.8231 \\  & HFN & 0.9037 & 0.9083 & 0.9223 & 0.9432 & **0.9548** & **0.9639** & 0.929 & 0.9161 & 0.948 & 0.876 & 0.8358 \\  & IN & 0.7649 & **0.8346** & 0.331 & 0.7216 & 0.7573 & **0.8637** & 0.8168 & **0.8804** & 0.7426 & 0.8344 & 0.7971 \\  & QN & 0.7693 & 0.8515 & 0.8365 & 0.8096 & **0.9109** & 0.8726 & 0.8659 & 0.7740 & **0.8944** & 0.8763 & **0.9072** \\  & GB & **0.9662** & 0.9602 & 0.9336 & 0.9549 & 0.9094 & 0.9564 & **0.9629** & **0.9733** & 0.9292 & 0.9592 & 0.9028 \\  & DEN & 0.9609 & 0.8892 & 0.9611 & 0.9647 & **0.9756** & 0.9704 & **0.9759** & 0.9343 & 0.9649 & 0.9743 & **0.9802** \\  & JPEG & 0.9493 & 0.9198 & 0.9612 & 0.973 & **0.9834** & **0.9854** & 0.9765 & 0.9626 & 0.9753 & 0.9831 & **0.9846** \\  & JPZK & 0.9681 & 0.9366 & 0.9738 & 0.9741 & **0.9812** & **0.9831** & **0.9801** & 0.9689 & 0.9699 & 0.9734 & 0.9787 \\  & JGTE & 0.8859 & 0.8922 & 0.8955 & **0.9178** & 0.8786 & **0.9454** & **0.9217** & 0.9024 & 0.8856 & 0.9098 & 0.8980 \\  & JZTE & 0.8725 & 0.8650 & 0.8755 & 0.8010 & **0.9087** & **0.9194** & **0.8994** & 0.8835 & 0.8884 & 0.8315 & 0.8884 \\  & NEPN & 0.7755 & 0.7989 & **0.8552** & 0.8057 & **0.8162** & 0.8154 & 0.8063 & 0.7368 & **0.8405** & 0.7675 & 0.8154 \\  & Block & 0.5622 & 0.5620 & 0.4216 & 0.5488 & **0.6351** & 0.4875 & 0.6061 & **0.6393** & 0.4983 & **0.6636** & 0.6253 \\  & MS & **0.7849** & 0.7081 & 0.6726 & **0.7870** & 0.7661 & **0.8025** & 0.7721 & 0.6911 & 0.7537 & 0.7577 & 0.7176 \\  & CTC & 0.4691 & **0.8362** & 0.2970 & **0.6838** & 0.5098 & **0.6595** & 0.6470 & 0.2129 & 0.4278 & 0.6346 & 0.5466 \\  & CCS & 0.4998 & 0.3541 & 0.1601 & **0.8377** & 0.1516 & **0.8106** & 0.7384 & 0.4374 & 0.0893 & 0.408 & 0.7324 \\  & MGN & 0.7768 & 0.7908 & 0.8528 & 0.8654 & **0.8911** & **0.913** & 0.8430 & 0.8291 & 0.8825 & 0.8768 & **0.8961** \\  & CN & 0.9043 & 0.8866 & 0.9343 & 0.9466 & **0.9562** & **0.9544** & 0.9492 & 0.9333 & 0.9480 & 0.9390 & **0.9643** \\  & LCNI & 0.9141 & 0.8761 & 0.9561 & 0.9564 & **0.9699** & 0.9634 & 0.9570 & 0.9256 & **0.9671** & 0.9639 & **0.9783** \\  & ICQD & 0.7976 & 0.8147 & 0.8694 & 0.8053 & **0.9192** & 0.8963 & 0.900 & 0.8169 & 0.9124 & **0.9176** & **0.9346** \\  & CHA & 0.9599 & 0.9381 & 0.9591 & **0.9798** & 0.9709 & **0.9752** & 0.9683 & **0.9764** & 0.9697 & 0.9713 & 0.9580 \\  & SSR & 0.9690 & 0.9161 & 0.9762 & 0.9766 & **0.9848** & 0.9800 & **0.9840** & 0.9657 & 0.9785 & 0.9739 & **0.9847** \\ \hline \multirow{9}{*}{CSIQ} & AGN & 0.9148 & 0.9563 & 0.9514 & 0.9383 & 0.4556 & **0.9636** & 0.9505 & 0.9389 & **0.9671** & **0.9646** & 0.9601 \\  & JPEG & 0.9774 & 0.9833 & 0.9827 & **0.9848** & 0.7621 & 0.9808 & 0.9804 & 0.9823 & **0.9865** & 0.9791 & **0.9860** \\  & JPZK & 0.9698 & 0.9782 & **0.9842** & 0.9818 & 0.7883 & 0.9745 & 0.9696 & 0.9799 & **0.9856** & 0.9616 & **0.9848** \\  & AGPN & 0.8916 & **0.9612** & 0.9548 & 0.8172 & 0.5573 & 0.8698 & 0.8499 & 0.9194 & **0.9581** & 0.8514 & **0.9553** \\  & GB & 0.9363 & 0A further analysis of the MVFC method, VSI, and CVSS (Table 5) shows that the MVFC method has lower PLCC values for CTC (contrast change) and block (different intensity local block distortions) distortion types, with values of 0.5466 and 0.6253, respectively; VSI has lower results for block (different intensity local block distortions) and CTC (contrast change) distortion types, with results of 0.4875 and 0.6595, respectively; CVSS has lower results for block (different intensity local block distortions), CTC (contrast change), and CCS (color saturation change) distortion types, with results of 0.4983, 0.4278, and 0.0893, respectively.