DocumentCode :
3325357
Title :
SVD based linear filtering in DCT domain
Author :
Zhuang, Liansheng ; Zhao, Rui ; Yu, Nenghai ; Liu, Bin
Author_Institution :
MOE-MS Key Lab. of Multimedia Comput. & Commun., USTC, Hefei, China
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
2769
Lastpage :
2772
Abstract :
Efficient linear filtering in DCT domain is important in the area of processing and manipulation of image and video streams compressed in DCT-based method. In this paper, we proposed a novel method for linear filtering in DCT domain, regardless of filter type. We decompose any filter by SVD into weighted separable sub-filters which are well studied. Then we do fast linear filtering using these separable subfilters in DCT domain, and combine their results. To our best knowledge, it is the first method capable to do linear filtering with any type of filters directly in DCT domain. The scheme is demonstrated and discussed by doing Gabor filtering in DCT domain. Experiment results show that convolution result using the proposed solution is the same as that in spatial domain. Furthermore, our scheme is well suitable for distributed computing, which will improve computing speed greatly.
Keywords :
Gabor filters; convolution; discrete cosine transforms; filtering theory; image processing; singular value decomposition; Gabor filtering; discrete cosine transforms; distributed computing; image streams; linear filtering; video streams; weighted separable sub-filters; Convolution; Discrete cosine transforms; Gabor filters; Maximum likelihood detection; Nonlinear filters; DCT-domain filtering; Gabor; SVD; compressed-domain processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5651004
Filename :
5651004
Link To Document :
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