Phase congruency based on derivatives of circular symmetric Gaussian function: an efficient feature map for image quality assessment

EURASIP Journal on Image and Video Processing

Table 2 Performance of \({\mathrm{S}}_{\mathrm{FSIM}}\) and \({\mathrm{S}}_{\mathrm{FSIMc}}\) in terms of SROCC, where the PC algorithm in FSIM metric has been replaced by the proposed PC

	LIVE	CSIQ	TID2013	Weighted average
FSIM	0.9634	0.9240	0.8015	0.8515
FSIMc	0.9645	0.9310	0.8510	0.8849
\({\mathrm{S}}_{\mathrm{FSIM}}\)	0.9628	0.9265	0.8048	0.8540
\({\mathrm{S}}_{\mathrm{FSIM}}\)-c	0.9635	0.9324	0.8526	0.8861