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Blind image deconvolution for symmetric blurs by polynomial factorization

机译:通过多项式分解实现对称模糊的盲图像反卷积

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Abstract: In image acquisition, the captured image is often the result of the object being convolved with a blur. Deconvolution is necessary to undo the effects of the blur. However, in reality we often know very little of its exact structure, and therefore we have to perform blind deconvolution. Most existing methods are computationally intensive, Here, we show that if the blur is symmetric, we have an efficient algorithm for deconvolution based on polynomial factorization in the z-domain.!5
机译:摘要:在图像采集中,捕获的图像通常是对象被模糊卷积的结果。去卷积对于消除模糊的影响是必要的。但是,实际上,我们通常对其确切结构知之甚少,因此我们必须进行盲反卷积。现有的大多数方法都需要大量计算,在这里,我们证明了如果模糊是对称的,我们就有一个基于z域中多项式因式分解的高效去卷积算法!

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