IEEE Trans Image Process - Shadow removal using bilateral filtering.

Tópicos

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Resumo

In this paper, we propose a simple but effective shadow removal method using a single input image. We first derive a 2-D intrinsic image from a single RGB camera image based solely on colors, particularly chromaticity. We next present a method to recover a 3-D intrinsic image based on bilateral filtering and the 2-D intrinsic image. The luminance contrast in regions with similar surface reflectance due to geometry and illumination variances is effectively reduced in the derived 3-D intrinsic image, while the contrast in regions with different surface reflectance is preserved. However, the intrinsic image contains incorrect luminance values. To obtain the correct luminance, we decompose the input RGB image and the intrinsic image. Each image is decomposed into a base layer and a detail layer. We obtain a shadow-free image by combining the base layer from the input RGB image and the detail layer from the intrinsic image such that the details of the intrinsic image are transferred to the input RGB image from which the correct luminance values can be obtained. Unlike previous methods, the presented technique is fully automatic and does not require shadow detection.

Resumo Limpo

paper propos simpl effect shadow remov method use singl input imag first deriv d intrins imag singl rgb camera imag base sole color particular chromat next present method recov d intrins imag base bilater filter d intrins imag lumin contrast region similar surfac reflect due geometri illumin varianc effect reduc deriv d intrins imag contrast region differ surfac reflect preserv howev intrins imag contain incorrect lumin valu obtain correct lumin decompos input rgb imag intrins imag imag decompos base layer detail layer obtain shadowfre imag combin base layer input rgb imag detail layer intrins imag detail intrins imag transfer input rgb imag correct lumin valu can obtain unlik previous method present techniqu fulli automat requir shadow detect

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