【摘要】：針對壓縮感知迭代收縮閾值算法在圖像處理中存在收斂速度慢和去噪性能差的缺陷,提出了一種改進的高性能迭代收縮閾值天文圖像去噪重建算法.首先,使用經(jīng)典最速下降法中的BB線性搜索步長算子加快迭代收縮閾值算法的收斂速度;其次,為了進一步提高重構(gòu)天文圖像的質(zhì)量,在傳統(tǒng)Visu Shrink收縮閾值的基礎(chǔ)上,提出一種下降Visu Shrink收縮閾值對圖像信息進行篩選;由于閾值去噪方法在迭代重建的過程中會導致重建的圖像中出現(xiàn)偽吉布斯效應(yīng),最后采用循環(huán)平移的方法在每次迭代過程中對獲取的重建圖像進行調(diào)整.多次的試驗結(jié)果表明,與傳統(tǒng)的壓縮感知迭代收縮閾值算法相比,所提出的算法不僅能夠獲得較優(yōu)的去噪性能和較快的收斂速度,同時可以有效地保護天文圖像的特征和紋理等細節(jié)信息.此外,當選取的壓縮采樣比較低時,本算法也可以獲得相對較高的峰值信噪比和視覺質(zhì)量,進一步驗證了本算法在天文圖像去噪中的有效性.
[Abstract]:In order to overcome the shortcomings of slow convergence and poor denoising performance in image processing, an improved iterative shrinkage threshold algorithm for astronomical image denoising and reconstruction with high performance is proposed. Firstly, the BB linear search step operator in the classical steepest descent method is used to accelerate the convergence speed of the iterative shrinkage threshold algorithm. Secondly, in order to further improve the quality of reconstructed astronomical images, based on the traditional Visu Shrink shrinkage threshold, a reduced Visu Shrink shrinkage threshold is proposed to filter the image information. Since the threshold denoising method will lead to pseudo-Gibbs effect in the reconstructed image during iterative reconstruction, the method of cyclic translation is used to adjust the reconstructed image during each iteration. The experimental results show that compared with the traditional compression sensing iterative shrinkage threshold algorithm, the proposed algorithm can not only achieve better denoising performance and faster convergence rate, At the same time, it can effectively protect the features and texture of astronomical images and other details. In addition, when the selected compression sampling is low, the proposed algorithm can obtain relatively high PSNR and visual quality, which further verifies the effectiveness of the proposed algorithm in astronomical image denoising.
【作者單位】： 哈爾濱工業(yè)大學控制與仿真中心;
【基金】：國家自然科學基金(61074127)
【分類號】：TP391.41

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