A novel edge-detached image restoration algorithm with ringing reduction was proposed to suppress ringing artifacts from restored degraded image. Firstly, the support size of a Point Spread Function (PSF) was estimated via an image quality assessment based on a blur identifier, and the strong edges in the degraded image were extracted and their corresponding areas were smoothed to get an Edge-Detached (E-D) blur image. Then, the E-D blur image was restored through the iterative blind restoration using the estimated PSF. Finally, the restored E-D image was fused with the enhanced extracted-edge zone to obtain the integrated deblurring image and to be enhanced further. In order to avoid noise amplification, the Wiener denoising combined with Discrete Wavelet Transform(DWT) denoising were used only in the wavelet low frequency domain of the blur image. Experimental results show that this algorithm can effectively suppress ringing artifacts, reduce the ringing metric of the restored image at least 34% and 12.5% compared with those of the traditional iterative restoration algorithm and the fuzzy filter based algorithm. Moreover, the algorithm improves the recovery image quality evidently.