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Table 1 Quality and aggregation performance in the reference method [3] and the proposed approaches entitled IBDH-DCT (best results are shown in italicized form)

From: Efficient payload communications for IoT-enabled ViSAR vehicles using discrete cosine transform-based quasi-sparse bit injection

MethodsPatch sizeMetrics
Capacity (bit)PSNR (dB)SSIMEPI
IBDH method in [3]1 × 11550348.68350.998681.0845
IBDH-DCT (proposed)2 × 2295049.81140.999861.013
4 × 41131551.41280.999910.99835
8 × 82453650.9950.999441.0313
16 × 162890950.68150.996771.0828
32 × 322959650.58880.994321.1114
64 × 642980050.55980.993111.1281
128 × 1282827050.54220.993551.1262
256 × 2562858450.56600.993571.1328