There are numerous applications and variants of pyramid methods in digital image processing. Many of them feature a linear time complexity in the number of pixels; thus, they are particularly well suited for real-time image processing. In this work, we show that modern GPUs allow us to implement pyramid methods based on bilinear texture interpolation for high-performance image processing and present three examples: zooming with biquadratic B-spline filtering, efficient image blurring of arbitrary blur width, and smooth interpolation of scattered pixel data. In comparison with published techniques for GPU-based image processing, we achieve considerable performance improvements compared to published filtering techniques and improvements of image quality compared to bilinear interpolation.<\/p>\n","protected":false},"excerpt":{"rendered":"
There are numerous applications and variants of pyramid methods in digital image processing. Many of them feature a linear time complexity in the number of pixels; thus, they are particularly well suited for real-time image processing. In this work, we show that modern GPUs allow us to implement pyramid methods based on bilinear texture interpolation […]<\/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":[36,33,3],"tags":[1787,1786,20,247,182,70],"class_list":["post-2977","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-image-processing","category-paper","tag-algorithms","tag-image-processing","tag-nvidia","tag-nvidia-geforce-7800-gtx","tag-opengl","tag-programming-techniques"],"views":3101,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2977","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=2977"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2977\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2977"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2977"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}