報告人：吳振華 Colour image smoothing through a soft-switching mechanism using a graph model.

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Presentation transcript:

報告人：吳振華 Colour image smoothing through a soft-switching mechanism using a graph model

Abstract Colour image denoising is a topic which has been extensively studied in the fields of computer vision and digital image processing. The authors use a recent filter mixed with the classical arithmetic mean filter (AMF). The recent method is used to process image pixels close to edges, texture and details and the AMF is only used to process homogeneous regions.

Abstract To process the rest of the image, we use a recent non-linear method called fuzzy noise reduction method (FNRM) [7]. The switching between AMF and FNRM is performed in a soft fashion so that when the class of the image pixel is not clearly determined the results of both methods are combined.

Method The weight of an edge Use the Kruskal algorithm [14] to determine the minimum and maximum spanning trees of G.

Method

Method (soft-switching graph denoising) Soft-switching graph denoising When α = 1 SSGD behaves as the AMF and when α = 0 SSGD equals FNRM. The pixel belongs to an homogeneous region of the image α should be large (closer to 1), otherwise, α should be lower (closer to 0).

Method α=μ(x, a, b)

Results