Back close

Image Dehazing Using Variational Mode Decomposition

Publication Type : Conference Proceedings

Publisher : International Conference on Wireless Communications Signal Processing and Networking (WISPNET 2017)

Authors : Dr. Sowmya V., Hima . T.Suseelan, and K. P. Soman

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

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.

Admissions Apply Now