[Retracted] Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model

Table 6

The comparison between the proposed method and G.R. Sheng’s method.

-value ratio selection	Tampering
	Untampered image (%)	0.9 (%)	0.8 (%)	0.7 (%)	0.6 (%)
G.R. sheng	67.86	64.27	85.72	83.92	87.49
Algorithm of this paper	69.25	77.98	90.488	86.89	89.31

(Note: The detection result of this algorithm is the average correct rate using three thresholds of 0.7, 0.8 and 0.9).