Abstract
A novel contrast enhancement (CE) algorithm using 2-dimensional (2D) histograms, which transforms pixel values adaptively based on the depth information, is proposed in this work. In general, foreground objects convey more important visual information than background regions. Hence we assign high CE priorities to foreground pixels using the depth values and generate a depth-guided 2D histogram. Then, we stretch the gray-level differences of adjacent foreground pixels more strongly than those of adjacent background pixels. Moreover, to enhance background regions as well, we design two transformation functions for the foreground and the background separately. By combining the two functions according to pixel depths, we obtain an adaptive space-variant transformation function, which is finally used to reconstruct the output image. Experimental results show that the proposed algorithm outperforms conventional CE algorithms by enhancing salient foreground objects efficiently and preserving background details faithfully.
Original language | English |
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Title of host publication | 2014 IEEE International Conference on Image Processing, ICIP 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 4527-4531 |
Number of pages | 5 |
ISBN (Electronic) | 9781479957514 |
DOIs | |
Publication status | Published - 2014 Jan 28 |
Keywords
- 2D histogram
- adaptive enhancement
- Contrast enhancement
- depth-guided histogram
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition