IEEE Trans Image Process - Nonedge-specific adaptive scheme for highly robust blind motion deblurring of natural imagess.

Tópicos

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Resumo

Blind motion deblurring estimates a sharp image from a motion blurred image without the knowledge of the blur kernel. Although significant progress has been made on tackling this problem, existing methods, when applied to highly diverse natural images, are still far from stable. This paper focuses on the robustness of blind motion deblurring methods toward image diversity-a critical problem that has been previously neglected for years. We classify the existing methods into two schemes and analyze their robustness using an image set consisting of 1.2 million natural images. The first scheme is edge-specific, as it relies on the detection and prediction of large-scale step edges. This scheme is sensitive to the diversity of the image edges in natural images. The second scheme is nonedge-specific and explores various image statistics, such as the prior distributions. This scheme is sensitive to statistical variation over different images. Based on the analysis, we address the robustness by proposing a novel nonedge-specific adaptive scheme (NEAS), which features a new prior that is adaptive to the variety of textures in natural images. By comparing the performance of NEAS against the existing methods on a very large image set, we demonstrate its advance beyond the state-of-the-art.

Resumo Limpo

blind motion deblur estim sharp imag motion blur imag without knowledg blur kernel although signific progress made tackl problem exist method appli high divers natur imag still far stabl paper focus robust blind motion deblur method toward imag diversitya critic problem previous neglect year classifi exist method two scheme analyz robust use imag set consist million natur imag first scheme edgespecif reli detect predict largescal step edg scheme sensit divers imag edg natur imag second scheme nonedgespecif explor various imag statist prior distribut scheme sensit statist variat differ imag base analysi address robust propos novel nonedgespecif adapt scheme nea featur new prior adapt varieti textur natur imag compar perform nea exist method larg imag set demonstr advanc beyond stateoftheart

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