DocumentCode
2832478
Title
Geometrical transformation-based ghost artifacts removing for high dynamic range image
Author
Im, Jaehyun ; Jang, Sangsik ; Lee, Seungwon ; Paik, Joonki
Author_Institution
Dept. of Image Eng., Chung-Ang Univ., Seoul, China
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
357
Lastpage
360
Abstract
In this paper, we propose a ghost artifacts removing algorithm for obtaining artifact-free high dynamic range (HDR) images in the presence of camera movement. Existing HDR methods work on condition that there is no camera movement when acquiring multiple low dynamic range (LDR) images. For overcoming such unrealistic restriction, the proposed algorithm first specifies the target and the source images in the set of acquired LDR images, and then the source image is transformed to fit the target image by estimating translation and rotation components in the affine matrix. Therefore, the proposed algorithm can reconstruct the HDR image without ghost artifacts because camera movement is completely removed in transformed images. Experimental results show that the proposed algorithm successfully removes ghost artifacts. For this reason, the proposed algorithm can extend application areas of HDR imaging to various mobile imaging devices, such as a handheld camcorder and a mobile phone camera.
Keywords
cameras; estimation theory; image reconstruction; image registration; motion compensation; HDR image reconstruction; HDR images; HDR imaging; HDR methods; acquired LDR images; affine matrix; artifact-free high dynamic range images; camera movement; geometrical transformation-based ghost artifacts removing; ghost artifacts removing algorithm; handheld camcorder; low dynamic range images; mobile imaging devices; mobile phone camera; rotation component estimation; source image; target image; transformed images; translation component estimation; Cameras; Dynamic range; Erbium; Heuristic algorithms; Image processing; Software; HDR; High dynamic range image; Image registration; Motion compensation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6116490
Filename
6116490
Link To Document