Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel dehazing method for effectively enhancing complex texture regions by using entropy information. The proposed method improves a drawback of an existing method due to estimating an incorrect transmission map. The proposed method consisted of two steps. In the first step, for effectively estimating a transmission map, an entropy map is generated from YCbCr color space. Then, by applying a threshold value to the entropy map, an input image is divided into complex texture regions and others. In the second step, in order to generate a transmission map, an averaging filter is applied to complex texture regions. And two edge filters are applied to non-texture regions. Consequently, a correct transmission map preserving more details in complex texture regions is generated. Experimental results have shown that the proposed method achieves better performance of image dehazing than existing methods. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICCE.2015.7066446 | ICCE |
Keywords | Field | DocType |
edge detection,filtering theory,image colour analysis,image enhancement,image texture,ycbcr color space,averaging filter,complex texture regions,edge enhancement,efficient dehazing method,entropy information,entropy map,image dehazing,incorrect transmission map,threshold value,transmission map,entropy,flowcharts,time complexity | Computer vision,Ycbcr color space,Image texture,Computer science,Artificial intelligence,Time complexity,Entropy (information theory),Flowchart,Color image,Edge enhancement | Conference |
ISSN | Citations | PageRank |
2158-3994 | 1 | 0.37 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ki Tae Park | 1 | 24 | 6.23 |
| Min Yong Kim | 2 | 26 | 6.89 |
| Young Shik Moon | 3 | 110 | 16.82 |