Comparative study on several blind deconvolution algorithms applied to underwater image restoration
Comparative study on several blind deconvolution algorithms applied to underwater image restoration
复制标题
几种应用于水下图像复原的盲反卷积算法对比研究
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Wei Zhang
中科院分区：
文献类型：
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作者：
Fan Fan;Kecheng Yang;Min Xia;W. Li;Bosi Fu;Wei Zhang
虽然盲解卷积在图像复原中的应用是一个广为人知的概念，但只有少数报道详细讨论了它在解决水下距离选通激光图像复原问题中的应用。对Richardson-Lucy算法、最小二乘算法和乘性迭代盲反卷积算法在水下图像复原中的应用进行了比较研究。所有的反褶积方法分别以去噪后的水下图像和威尔斯的小角度近似理论作为初始目标和退化猜测。由于水下无参考成像环境，在比较中加入了基于模糊度量方法的图像质量判断，确定了各算法合适的反卷积迭代次数，客观地评价了图像复原效果。讨论并报告了这三种算法在水下图像复原中的性能。
Although the use of blind deconvolution of image restoration is a widely known concept, only few reports have discussed in detail its application to solving problem of restoration of underwater range-gated laser images. A comparative study of underwater image restoration using the Richardson-Lucy algorithm, the least-squares algorithm, and the multiplicative iterative algorithm for blind deconvolution is presented. All the deconvolution approaches use denoised underwater images and Wells’ small angle approximation theory of derived point spread function as the initial object and degradation guess, respectively. Owing the underwater no-reference imaging environment, image quality judgment based on the blur metric method is incorporated in our comparison to determine the appropriate deconvolution iteration number for each algorithm, which objectively evaluates the image restoration results. The performance of the three algorithms applied to underwater image restoration is discussed and reported.