Publication Type : Conference Proceedings
Publisher : IEEE
Source : International Conference on Wireless Communications Signal Processing and Networking (WISPNET 2017), IEEE, SSN College of Engineering, Chennai, India, p.200-205 (2018)
Url : https://www.scopus.com/record/display.uri?eid=2-s2.0-85046347860&origin=resultslist&sort=plf-f&src=s&sid=f0642b48a138a13ad0ba89d7e2576854&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2836096164300%29&relpos=20&citeCnt=0&searchTerm=
Keywords : Demulsification, Image quality, Quality control, Wireless telecommunication systems
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2018
Abstract : Haze is caused by the scattering of airtight in atmosphere and it deteriorates the contrast of the photographs. Here, we propose a novel approach for haze removal based on Two Dimensional Variational Mode Decomposition (2D VMD). Two dimensional VMD decomposes the input image into desired number of bands with different central frequencies. From this set of modes, an enhanced image is reconstructed by identifying and eliminating the hazy modes. Algorithm is applied for a wide variety of hazy images including both Full Reference and Non Reference image datasets. Image Quality Assessment techniques PSNR, SSIM, and MSE are used for full reference datasets and a completely blind image quality metric, Natural Image Quality Evaluator (NIQE) is used for non reference datasets. Experimental results and analysis shows that the proposed method outperforms few of the existing state-of-the-art methods such as He et al., Kolor Neutralhazer, Photoshop Auto Contrast (PSAC) and Tang et al. © 2017 IEEE.
Cite this Research Publication : Sowmya, Hima . T.Suseelan, and Dr. Soman K. P., “Image Dehazing Using Variational Mode Decomposition”, International Conference on Wireless Communications Signal Processing and Networking (WISPNET 2017). IEEE, SSN College of Engineering, Chennai, India, pp. 200-205, 2018.