Joint Motion Deblurring and Superresolution from Single Blurry Image

Table 1

SSIM results of various reconstruction methods, in case of different motion kernels.

Kernels		Method	“Lena”	“Parrots”	“Fruits”	“Lighthouse”	Average
Kernel-1		AMAP + DCC	0.783	0.731	0.779	0.642	0.734
		AMAP + FIU	0.719	0.704	0.730	0.603	0.689
		AMAP + ScSR	0.771	0.716	0.740	0.602	0.707
		Proposed	0.842	0.879	0.803	0.711	0.809
Kernel-2		AMAP + DCC	0.685	0.729	0.765	0.639	0.705
		AMAP + FIU	0.668	0.708	0.715	0.619	0.678
		AMAP + ScSR	0.713	0.727	0.742	0.625	0.702
		Proposed	0.833	0.896	0.876	0.824	0.857
Kernel-3		AMAP + DCC	0.753	0.736	0.692	0.697	0.720
		AMAP + FIU	0.740	0.734	0.627	0.629	0.683
		AMAP + ScSR	0.799	0.755	0.682	0.653	0.722
		Proposed	0.835	0.878	0.842	0.831	0.847