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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2009.5
- 수록면
- 195 - 199 (5page)
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초록· 키워드
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This talk presents new strategies with which explicit time-stepping procedures of PDE-based restoration models converge with a similar efficiency to implicit algorithms. Conventional explicit algorithms often require hundreds of iterations to converge. In order to overcome the difficulty and to further improve image quality, we introduce new spatially variable constraint term and timestep size, as a method of nonflat time evolution (MONTE). It has been verified that the explicit time-stepping scheme incorporating MONTE converges in only 4-15 iterations for all restoration examples we have tested. It has proved more effective than the additive operator splitting (AOS) method in both computation time and image quality (measured in PSNR), for most cases. Since the explicit MONTE procedure is efficient in computer memory, requiring only twice the image size, it can be applied particularly for huge data sets with a great efficiency in computer memory as well.
목차
ABSTRACT
PDE-BASED RESTORATION MODELS
LINEARIZED TIME-STEPPING PROCEDURES
THE METHOD OF NONFLAT TIME EVOLUTION (MONTE)
AN EXPLICIT NONFLAT TIME-STEPPING PROCEDURE
NUMERICAL EXPERIMENT RESULT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2012-410-003697339