Research on Image Restoration for Sparse Aperture Systems

The improved algorithm for removing the image noises is presented after analyzing tradition wavelet threshold methods.After the noises being removed from the disturbed images with improved wavelet threshold algorithm,relatively idea images can be received.Then image restoration is realized after improved wiener filtering which has been used for reference.During experiment,Golay6 sparse aperture systems with different fill factors are designed with the aid of the optical design program ZEMAX considering the redundancy of this configuration.It demonstrates that the proposed algorithm is superior to normal or improved Wiener filtering method.