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