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Image deconvolution is used to restore images degraded by blur and noise. In this Demonstration, three images degraded by various types of blurs can be restored using eight different deconvolution methods. The first four algorithms (DampedLS, Tikhonov, TSVD, and Wiener) use simple spectral filtering techniques, while the other four methods demonstrate an iterative deconvolution approach. You can control the amount of additive noise and the type of padding used.

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      EUN,LOM,LRE4,work-cmr-id:262054,http://demonstrations.wolfram.com:http://demonstrations.wolfram.com/ImageDeconvolution/,ilox,learning resource exchange,LRE metadata application profile,LRE

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