Astronomical Images Blind Restoration And Reconstruction Based On The Maximum Likelihood

At present, we can estimate a spatial object's size and quality using its high-resolution images. Furthermore, the distance among different objects can be measured. In addition, We can classify the spatial objects and other spatial debris and estimate their orbits, then their position-to-be will be predicted to avoid future crash. More important, spatial objects' configuration structure, which can provide important technological support for spatial objects' observation and research, can be obtained from the high resolution images of other spread spatial objects, such as Saturn and Jupiter. However, because of optical distortion induced by atmosphere turbulence and limitation of optical devices, the obtained spatial objects' images are blurred and degraded. Therefore it's an economic scheme for us to improve image resolution by using quick and effective post-processing methods. This article makes research on the high-resolution restoration and reconstruction of spatial objects, and related experiments are performed. The article primarily includes the following parts:1. It presents the significance, current condition and difficulties about blind deconvolution restoration and reconstruction of the astronomical object images.2. It makes related discussion between traditional linear deconvolution methods and modernnonlinear deconvolution methods.3. It achieves a maximum likelihood blind deconvolution algorithm based on the quantum-limited incoherent imagery, then illustrates the recovery result of this algorithm4. An improvement is made on the maximum likelihood blind deconvolution algorithm based on the constraints of strict priori knowledge. Experiments show that a high resolution restoration result can be received.5. Focused on the actual application, the research and development direction of the blind restoration and reconstruction of spatial object imagery are presented.