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Transferts d'apparence en espace image basés sur des propriétés texturelles

Abstract : Image-space appearance manipulation techniques are widely used in various domains such as photography, biology, astronomy or performing arts. An image appearance depends on the image colors and texture, but also the perceived 3D informations such as shapes, materials and illumination. These characteristics also create a specific look and feel for the image, which is also part of the image appearance. The goal of image-space manipulation techniques is to modify colors and textures as a mean to alter perceived shapes, illumination, materials, and from this possibly alter the image look and feel.Appearance transfer methods are a specific type of manipulation techniques aiming to make the process more intuitive by automatically computing the image modification. In order to do so, they use an additional user-provided image depicting the desired appearance.In this thesis, we study image-space appearance transfer based on textural properties. Since textures are an integral part of the image appearance, guiding appearance transfers with textural information is an attractive approach. We first present a texture descriptor filtering framework to better preserve image edges and texture transitions in the texture analysis. We then use this framework coupled with different texture descriptors in order to apply local texture guided color transfer, colorization and texture transfer.
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Submitted on : Monday, January 15, 2018 - 5:36:19 PM
Last modification on : Wednesday, October 14, 2020 - 4:17:04 AM


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  • HAL Id : tel-01684776, version 1



Benoit Arbelot. Transferts d'apparence en espace image basés sur des propriétés texturelles. Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Grenoble Alpes, 2017. Français. ⟨NNT : 2017GREAM018⟩. ⟨tel-01684776⟩



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