원문정보
초록
영어
In poor weather condition, fog removal from an image is an unavoidable problem. Various methods have been proposed in literature for de-hazing of image based on Dark Channel Prior (DCP) such as Improved Dark Channel Prior (IDCP), Anisotropic Diffusion and IDCP method using Guided Filter. This paper provides a hybrid strategy based on IDCP using Guided Filter and Anisotropic Diffusion method. The former strategy is used for estimating and refining transmission map while the later is used to estimate and refine airlight. In addition, this paper compares the above mentioned techniques using several performance metrics such as Normalized Color difference (NCD), Color Naturalness Index (CNI) and number of saturated pixel. The results shows that the visual quality of our hybrid approach is much better as well as the performance metrics mentioned above optimizes to a great extent.
목차
1. Introduction
2. Literature Survey
2.1. Dark Channel Prior (DCP):
2.2. Improved Dark Channel Prior (IDCP)
2.3. IDCP using Guided Filter
2.4. Anisotropic Diffusion
3. Proposed Hybrid Approach
3.1 Airlight Estimation:
3.2 Airlight Map Refinement:
3.3 Transmission Map Estimation:
3.4 Transmission Map Refinement:
3.5 Image Restoration:
4. Simulation Setup Parameters
5. Experimental Results
5.1. Impact on Color Naturalness Index (CNI)
5.2. Impact on Normalized Color Difference (NCD)
5.3. Impact on Percentage of No of Saturated Pixels
6. Conclusion
References