Tone mapping has been used to transfer HDR (high dynamic range) images to low dynamic range. This paper describes an algorithm to display high dynamic range images. Although local tone-mapping operator is better than global operator in reproducing images with better details and contrast, however, local tone mapping algorithm usually requires a huge amount of computation and it takes a long time to display an HDR image. We have designed a highly parallel method using Graphics Processing Unit (GPU) to accelerate the computation in order to achieve a real-time display. The algorithm can be highly parallelized. In order to run on different heterogeneous systems, we choose OpenCL, instead of CUDA, for our implementation. We have demonstrated the speed-up can be as high as 63 times for a 1280×960 image.<\/p>\n","protected":false},"excerpt":{"rendered":"
Tone mapping has been used to transfer HDR (high dynamic range) images to low dynamic range. This paper describes an algorithm to display high dynamic range images. Although local tone-mapping operator is better than global operator in reproducing images with better details and contrast, however, local tone mapping algorithm usually requires a huge amount of […]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[36,33,90,3],"tags":[1787,452,1786,20,1772,1793],"class_list":["post-17518","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-image-processing","category-opencl","category-paper","tag-algorithms","tag-heterogeneous-systems","tag-image-processing","tag-nvidia","tag-nvidia-geforce-gt-750-m","tag-opencl"],"views":3018,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/17518","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=17518"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/17518\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}