Astronomical image enhancement algorithm based on regional image restoration

作者：Jiao Jichao^*; Zhao Baojun; Tao Fenfang; Lou Juan

来源：Chinese Journal of Scientific Instrument, 2011, 32(7): 1455-1461.

• Astronomical images
• Blind deconvolution
• Blurred image
• Electronic noise
• Ground based
• Initial point
• Median filter
• Real images
• Regional division
• Space targets
• Sub-regions

Atmospheric turbulence, photon and electronic noise reduce the quality of ground-based astronomical images, which affects space target detection. Aiming at this situation, an astronomical image enhancement algorithm based on partial image restoration is proposed. Firstly, an initial point spread function model is built with the system parameters and the blurred images. And then the image is divided into N×N regions, the sub-region that meets certain conditions is operated using blind deconvolution to realize image restoration, and finally the noise in restored image is suppressed with improved median filter, and astronomical image enhancement is achieved. Real images are used to test this algorithm and experimental results show that the algorithm effectively inhibit the impact of atmospheric turbulence and noise, and improve the image resolution and LDCR; and about 30% computation task is reduced.

• 出版日期2011
• 单位北京理工大学