{"id":158797,"date":"2010-03-01T00:00:00","date_gmt":"2010-03-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/on-the-adaptive-coefficient-scanning-of-jpeg-xr-hd-photo\/"},"modified":"2018-10-16T20:52:00","modified_gmt":"2018-10-17T03:52:00","slug":"on-the-adaptive-coefficient-scanning-of-jpeg-xr-hd-photo","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-the-adaptive-coefficient-scanning-of-jpeg-xr-hd-photo\/","title":{"rendered":"On The Adaptive Coefficient Scanning of JPEG XR \/ HD Photo"},"content":{"rendered":"
\n

We explore several local and global strategies for adaptive scan ordering of transform coefficients in JPEG XR\/HD Photo. This codec applies a global adaptive scan-order heuristic with respect to an effective localized predictor. The global ordering heuristic, although simple, performs as well as localized techniques that are computationally significantly more complex. We conclude that effective localized prediction not only minimizes but also essentially randomizes coefficient residuals, so that a global statistic is sufficient to deliver near-optimal compression performance.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

We explore several local and global strategies for adaptive scan ordering of transform coefficients in JPEG XR\/HD Photo. This codec applies a global adaptive scan-order heuristic with respect to an effective localized predictor. The global ordering heuristic, although simple, performs as well as localized techniques that are computationally significantly more complex. We conclude that effective […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13551],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-158797","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-graphics-and-multimedia","msr-locale-en_us"],"msr_publishername":"Institute of Electrical and Electronics Engineers, Inc.","msr_edition":"Data Compression Conference","msr_affiliation":"","msr_published_date":"2010-03-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"Data Compression Conference","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"207225","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"Testoni-DCC2010.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/Testoni-DCC2010.pdf","id":207225,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":207225,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/Testoni-DCC2010.pdf"}],"msr-author-ordering":[{"type":"text","value":"Vanessa Testoni","user_id":0,"rest_url":false},{"type":"text","value":"Max H. 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