Table 1.

Hierarchical regression analysis of rated visual complexity with affective ratings and computational measures of visual complexity, across all 720 images used in Experiment 1 and for only the subsets used in Experiments 2–4 (360 and 144 image subsets).

	Measures						Picture Set
	Affective ratings		Computational visual complexity				All 720		360 subset		144 subset
Model	Arousal	Valence	Edge density	Feature congestion	Subband entropy	JPEG file size	R2	ΔBIC	R2	ΔBIC	R2	ΔBIC
Individual Measures
Arousal	X						0.294	250.18	0.328	130.26	0.321	44.68
Valence		X					0.064	452.28	0.075	245.35	0.089	87.02
Edge density			X				0.147	385.82	0.158	211.54	0.181	71.76
Feature congestion				X			0.199	340.84	0.215	186.16	0.211	66.35
Subband entropy					X		0.028	479.80	0.037	259.53	0.024	96.89
JPEG file size						X	0.114	413.53	0.089	239.73	0.054	92.43
Affective ratings	X	X					0.298	252.80	0.330	135.00	0.321	49.62
Computational visual complexity
w/ JPEG file size			X	X	X	X	0.235	327.70	0.266	179.81	0.289	66.16
w/o JPEG file size			X	X	X		0.233	322.96	0.249	181.86	0.272	64.78
Full Model (w/o JPEG File Size)	X	X	X	X	X		0.524	0.00	0.569	0.00	0.581	0.00