{"id":3169,"date":"2011-03-11T15:08:18","date_gmt":"2011-03-11T15:08:18","guid":{"rendered":"http:\/\/hgpu.org\/?p=3169"},"modified":"2011-03-11T15:08:18","modified_gmt":"2011-03-11T15:08:18","slug":"anisotropic-kuwahara-filtering-on-the-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3169","title":{"rendered":"Anisotropic Kuwahara Filtering on the GPU"},"content":{"rendered":"<p>In this chapter we present an implementation of the anisotropic Kuwahara filter. The anisotropic Kuwahara filter is a generalization of the Kuwahara filter that avoids artifacts by adapting shape, scale and orientation of the filter to the local structure of the input. Due to this adaption, directional image features are better preserved and emphasized. This results in overall sharper edges and a more feature-abiding painterly effect.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this chapter we present an implementation of the anisotropic Kuwahara filter. The anisotropic Kuwahara filter is a generalization of the Kuwahara filter that avoids artifacts by adapting shape, scale and orientation of the filter to the local structure of the input. Due to this adaption, directional image features are better preserved and emphasized. This [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[180,36,11,3],"tags":[1797,1787,1782,841,144],"class_list":["post-3169","post","type-post","status-publish","format-standard","hentry","category-3d-graphics-and-realism","category-algorithms","category-computer-science","category-paper","tag-3d-graphics-and-realism","tag-algorithms","tag-computer-science","tag-filtering","tag-rendering"],"views":3316,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3169","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3169"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3169\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3169"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3169"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}