Experimental results are presented in this paper for blind image deconvolution to restore degraded images without information on the cause of degradation. The NAS-RIF algorithm, proposed by D.Kundur etal., is utilized to restore degraded images with only limited information, for example, the nonnegativity of the original image and the support size of the object. In the NAS-RIF algorithm, a cost function is defined to have convexity and the original image is restored by recursive filtering to minimize the cost function. Experimental results demonstrate highly efficient performance of the NAS-RIF algorithm.