{"id":12218,"date":"2014-06-07T17:34:03","date_gmt":"2014-06-07T14:34:03","guid":{"rendered":"http:\/\/hgpu.org\/?p=12218"},"modified":"2014-06-07T17:34:03","modified_gmt":"2014-06-07T14:34:03","slug":"performance-evaluation-of-discrete-wavelet-transform-based-on-image-compression-technique-on-both-cpu-and-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=12218","title":{"rendered":"Performance Evaluation of Discrete Wavelet Transform Based on Image Compression Technique on Both CPU and GPU"},"content":{"rendered":"<p>This paper investigates the use of the Compute Unified Device Architecture (CUDA) programming model to implement Discrete Wavelet Transform (DWT) based algorithm for efficient image compression. The PSNR (Peak Signal to Noise Ratio) is used to evaluate image reconstruction quality in this paper. The results are presented and discussed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper investigates the use of the Compute Unified Device Architecture (CUDA) programming model to implement Discrete Wavelet Transform (DWT) based algorithm for efficient image compression. The PSNR (Peak Signal to Noise Ratio) is used to evaluate image reconstruction quality in this paper. The results are presented and discussed.<\/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":[89,33,3],"tags":[832,14,362,1786,20,357],"class_list":["post-12218","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-image-processing","category-paper","tag-compression","tag-cuda","tag-discrete-wavelet-transform","tag-image-processing","tag-nvidia","tag-nvidia-geforce-8800-gts"],"views":2580,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12218","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=12218"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12218\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12218"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12218"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}