Radio Astronomy Image Restoration Combined With Compression Perception And Maximum Entropy Method

Radio astronomy imaging is this:In the antenna observatory received the frequency domain values of celestial bodies, these frequency domain values inverse Fourier transform to obtain the brightness distribution of celestial bodies. However, due to the limited number of antennas astronomical observatory, so only part of the data received in the frequency domain, in order to achieve better visual effect, we want to do celestial brightness distribution of image restoration.In mathematics, astronomy image restoration is mainly for processing image restoration undersampling sample reduction process, primarily with the clean algorithm and maximum entropy method for processing the method. However, But the two methods did not fundamentally solve the problem of reduction of undersampling samples. Therefore, this paper based on compressive sensing theory and maximum entropy method combined method for recovery of undersampling solar radioimages. By experimental observation, obtain the good results.This paper mainly deals sampling data of the sun, the selected images are images of the sun.The main contents are as follows:(1) Introducing the background and the significance of the radio astronomy, aperture synthesis radio observational techniques.(2) Introducing the compressive sensing theory and the maximum entropy method.(3) Using the method of compressive sensing and maximum entropy together getting on simulation.