Curvelet Transform Based Compression Algorithm for Low Resource Hyperspectral Image Sensors

Table 3

Image quality of 3D-SPIHT [17], 3D-NLS [20], and proposed 3D-LEZSPC for two HS images.

Bit rate (bpppb)	Compression ratio	3D-SPIHT [17]			3D-NLS [20]			3D-LEZSPC
		HS image quality (coding efficiency/PSNR)	Newly significant coefficients	Refinement coefficients	HS image quality (coding efficiency/PSNR)	Newly significant coefficients	Refinement coefficients	HS image quality (coding efficiency/PSNR)	Newly significant coefficients	Refinement coefficients
Hyperspectral image I
0.001	14000	26.28	2589	888	25.90	2317	665	26.41	2701	908
0.005	2800	28.95	16591	4127	28.71	14900	4137	28.97	16633	4139
0.01	1400	30.08	29644	12001	29.83	27658	11914	30.21	30941	12514
0.05	280	34.23	159938	36944	33.81	153874	36111	34.42	160102	37058
0.1	140	37.22	330311	112584	37	315087	112667	37.34	332578	114086
Hyperspectral image II
0.001	16000	26.75	3614	1498	26.61	3219	1488	26.87	3887	1607
0.005	3200	29.31	17157	7091	29.25	16689	7002	29.54	17995	7257
0.01	1600	30.19	28877	12287	30.15	28111	12347	30.48	29007	12928
0.05	320	33.61	168978	46897	33.59	168842	46888	33.93	170111	47025
0.1	160	35.44	311954	140905	35.41	311021	139852	35.69	324569	145958