Image denoising using multiwavelet filterbanks = 멀티 웨이블릿 필터를 이용한 영상 잡음제거

The multiscaling function of Alpert multiwavelet system and Chui-Lian system multiwavelet consists of one symmetric and one antisymmetric scaling functions. In its single level decomposition, only one of 16 subband blocks may be considered as a core part because the antisymmetric scaling function may play the high pass filter. We complete the Alpert multiwavelet system by determining the high pass filter using the algorithm of paraunitary extention principle. Taking the advantage of the symmetric/antisymmetric (SA) feature of Alpert and Chui-Lian multiscaling functions, our iteration (SA iteration) of multiwavelet decomposition continues to the core part (1/16 of subbands) for the image denoising problem while the traditional iteration applies to the one fourth of 16 subbands as core parts. The numerical results demonstrate that our method of symmetric/antisymmetric iteration exhibits performance superior to the traditional ways.
Advisors
Kim, Hong-Ohresearcher김홍오researcher
Publisher
한국과학기술원
Issue Date
2009
Identifier
309275/325007  / 020035281
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 수리과학과, 2009.2, [ vii, 59 p. ]

Keywords

multiwavelet; image; denoising; filterbank; 멀티웨이블릿; 영상; 잡음제거; 필터구성; multiwavelet; image; denoising; filterbank; 멀티웨이블릿; 영상; 잡음제거; 필터구성

URI
http://hdl.handle.net/10203/41911
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=309275&flag=t
Appears in Collection
MA-Theses_Ph.D.(박사논문)
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