DocumentCode :
598874
Title :
Image compostion based on details preserved
Author :
Wu Hao ; Miao Zhenjiang
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
597
Lastpage :
601
Abstract :
Image composition is a attractive domain and there are some classical composition technologies. Possion composition and gradient domain are some typical and traditional composition technologies. Their main function is to create plausible composited image. We can use the traditional methods to get a realistic visual results. However, after the composition we found that the details is not preserved, especially for the boundary of the composited image. We use some innovative methods to deal with the problem and there are two main stages in the paper. The first stage is that we introduce the model of our filter and compare it to the other filter. The second stage is that we use the filter and image pyramid to preserve the composited image´s details after the image composition, especially for the boundary.
Keywords :
filtering theory; gradient methods; image processing; stochastic processes; Possion composition; classical composition technologies; filter; gradient domain; image composition; image pyramid; Educational institutions; Equations; Filtering algorithms; Image edge detection; Laplace equations; Mathematical model; Poisson equations; Image composition; details preserved; details preserved filter; image pyramid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6469663
Filename :
6469663
Link To Document :
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