標題: | A CELL-BASED MATTING LAPLACIAN FOR CONTRAST ENHANCEMENT |
作者: | Tseng, Chen-Yu Wang, Sheng-Jyh 電子工程學系及電子研究所 Department of Electronics Engineering and Institute of Electronics |
關鍵字: | contrast enhancement;gamma adjustment;matting Laplacian |
公開日期: | 2012 |
摘要: | While various kinds of local tone mapping approaches have been proposed for contrast enhancement, how to automatically recovering overly bright and/or overly dark regions in an image without introducing extra artifacts still remains a challenging problem. Conventional approaches usually apply a translation-invariant filter to decompose the contrast information of an image into a global component and a detailed component and then adjust the contrast components according to some preselected criteria. However, the use of translation-invariant filter makes it hard to adaptively decompose the contrast information based on local image contents. To overcome this problem, we derive a global optimization approach with the use of cell-based matting Laplacian matrix to obtain more accurate decomposition. Besides, for the adjustment of contrast component, we present a spatially varying gamma adjustment approach that can locally recover poorly exposed regions and properly enhance contrast detail. This translation-varying approach can successfully suppress the halo artifacts without the loss of image details. |
URI: | http://hdl.handle.net/11536/22058 |
ISBN: | 978-1-4673-2533-2 |
ISSN: | 1522-4880 |
期刊: | 2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) |
起始頁: | 945 |
結束頁: | 948 |
顯示於類別: | 會議論文 |