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ACM SIGGRAPH Asia Thesis Fast Forward
Doctoral Consortium
:
Kernel-Based Image Filtering: Fast Algorithms and Applications
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ACM SIGGRAPH Asia Thesis Fast Forward
Doctoral Consortium
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TimeSunday, 17 November 201911:30 - 13:00
DescriptionImage filtering is a fundamental preprocessing task in computer vision and image processing. While the dominant applications of kernel filtering are 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 real-time applications. In the first half of the thesis, we propose fast algorithms for bilateral filtering (BLF) and nonlocal means (NLM). The core ideas can be extended to other forms of kernel filtering.