IEEE Trans Image Process - Weighted guided image filtering.

Tópicos

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Resumo

It is known that local filtering-based edge preserving smoothing techniques suffer from halo artifacts. In this paper, a weighted guided image filter (WGIF) is introduced by incorporating an edge-aware weighting into an existing guided image filter (GIF) to address the problem. The WGIF inherits advantages of both global and local smoothing filters in the sense that: 1) the complexity of the WGIF is O(N) for an image with N pixels, which is same as the GIF and 2) the WGIF can avoid halo artifacts like the existing global smoothing filters. The WGIF is applied for single image detail enhancement, single image haze removal, and fusion of differently exposed images. Experimental results show that the resultant algorithms produce images with better visual quality and at the same time halo artifacts can be reduced/avoided from appearing in the final images with negligible increment on running times.

Resumo Limpo

known local filteringbas edg preserv smooth techniqu suffer halo artifact paper weight guid imag filter wgif introduc incorpor edgeawar weight exist guid imag filter gif address problem wgif inherit advantag global local smooth filter sens complex wgif imag n pixel gif wgif can avoid halo artifact like exist global smooth filter wgif appli singl imag detail enhanc singl imag haze remov fusion differ expos imag experiment result show result algorithm produc imag better visual qualiti time halo artifact can reducedavoid appear final imag neglig increment run time

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