SDSS image denoising research based on dark channel prior defogging
The Sloan Digital Sky Survey(SDSS)in the United States began its formal survey in 2000,and it has produced a large number of spectral and image data.However,due to the influence of the equipment itself and ob-servation conditions,the details of the observation data may be blurred or lost.Before the subsequent data analysis and mining,it is a very necessary step to denoise the observed image.Based on this,the Dark Channel Prior(DCP)defogging algorithm is applied to the denoising of photometric images in SDSS,and compared with the B2U method.The results show that compared with the B2U method,the denoising effect of DCP algorithm is 7.98dB higher in Peak Signal-to-Noise Ratio(PSNR)and 7 percentage point higher in Structural Similarity(SSIM).
万方数据
维普
