Journal of virtual reality and broadcasting | |
Quasi-Convolution Pyramidal Blurring | |
Martin Kraus1  | |
[1] Technische Universität München$$ | |
关键词: GPU; blurring; image processing; pyramid algorithm; real-time; rendering; | |
DOI : 10.20385/1860-2037/6.2009.6 | |
学科分类:计算机科学(综合) | |
来源: Di P P - N R W | |
【 摘 要 】
Efficient image blurring techniques based on the pyramid algorithm can be implemented on modern graphicshardware; thus, image blurring with arbitrary blur width is possible in real time even for large images. However, pyramidal blurring methods do not achieve the image quality provided by convolution filters; in particular, the shape of the corresponding filter kernelvaries locally, which potentially results in objectionable rendering artifacts. In this work, a new analysis filter is designed that significantly reduces this variation for a particular pyramidal blurring technique. Moreover, the pyramidal blur algorithm is generalized to allow for a continuous variation of the blur width. Furthermore, an efficient implementation for programmable graphics hardware is presented. The proposed method is named “quasi-convolution pyramidal blurring�? since the resulting effect is very close to image blurring based on a convolution filter for many applications.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912010263369ZK.pdf | 2616KB | download |