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TZID:Australia/Brisbane
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BEGIN:STANDARD
DTSTART:19920301T030000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
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BEGIN:VEVENT
DTSTAMP:20191203T080420Z
LOCATION:Plaza Meeting Room P2
DTSTART;TZID=Australia/Brisbane:20191117T113000
DTEND;TZID=Australia/Brisbane:20191117T130000
UID:siggraphasia_SIGGRAPH Asia 2019_sess329_doc_118@linklings.com
SUMMARY:Kernel-Based Image Filtering: Fast Algorithms and Applications
DESCRIPTION:ACM SIGGRAPH Asia Thesis Fast Forward, Doctoral Consortium\n\n
 Kernel-Based Image Filtering: Fast Algorithms and Applications\n\nGhosh\n\
 nImage filtering is a fundamental preprocessing task in computer vision an
 d image processing. While the dominant applications of kernel filtering ar
 e enhancement and denoising, it can also be used as a powerful regularizer
  for image reconstruction. In general, the brute-force implementations of 
 kernel filtering is prohibitively expensive. They are often too slow for r
 eal-time applications. In the first half of the thesis, we propose fast al
 gorithms for bilateral filtering (BLF) and nonlocal means (NLM). The core 
 ideas can be extended to other forms of kernel filtering.\n\nRegistration 
 Category: Platinum Pass, Full Conference Pass, Full Conference One-Day Pas
 s, Basic Conference Pass, Student One-Day Pass
URL:https://sa2019.conference-program.com/presentation?id=doc_118&sess=ses
 s329
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