NDLI: Empirical wavelet transform-based fog removal via dark channel prior

Content Provider	IET Digital Library
Author	Sarkar, Manas Sarkar, Priyanka Rakshit Mondal, Ujjwal Nandi, Debashis
Abstract	Haze and fog removing from videos and images has got massive concentration in the field of video and image processing because videos and images are severely affected by fog in tracking and surveillance system, object detection. Different defogging techniques proposed so far are based on polarisation, colour-line model, anisotropic diffusion, dark channel prior (DCP) etc. However, these methods are unable to produce output image with desirable quality in the presence of dense fog and sky region. In this study, the authors have proposed a novel fog removal technique where DCP is applied on the low-frequency component of empirical wavelet transformation coefficients of the foggy input image. They apply unsharp masking on wavelet coefficients of the embedded wavelet transformed image for improving the sharpness of the output image. Later contrast limited adaptive histogram equalisation technique is used as a post-processing task to the inverse transformed image for producing the sharp and high contrast output. Finally, the colour and intensity of the contrast-enhanced image are uplifted through S-channel and V-channel gain adjustment. The proposed method provides significant improvement to the overall quality of the output image compared to contemporary techniques. The quantitative and qualitative measurements confirm the claims.
Starting Page	1170
Ending Page	1179
Page Count	10
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 6, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0496
Journal	IET Image Processing
Publisher Date	2020-01-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Histogram Equalisation Technique Colour-line Model Computer Vision And Image Processing Technique Contrast-enhanced Image Dark Channel DCP Defogging Technique Dense Fog Embedded Wavelet Transformed Image Empirical Wavelet Transformation Coefficient Equaliser Fog Fog Removal Technique Foggy Input Image High Contrast Output Image Colour Analysis Image Enhancement Image Processing Image Restoration Integral Transforms Inverse Transformed Image Inverse Transforms Object Detection Optical, Image And Video Signal Processing Output Image S-channel Sharp Contrast Output Surveillance System V-channel Gain Adjustment Wavelet Coefficient Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Combination of contrast limited adaptive histogram equalisation and discrete wavelet transform for image enhancement

Effective image enhancement techniques for fog-affected indoor and outdoor images

Revealing the traces of histogram equalisation in digital images

Optimisation of transmission map for improved image defogging

Image Enhancement Using Colour Space Conversion and Discrete Wavelet Transform

Non-parametric modified histogram equalisation for contrast enhancement

Saliency-based dark channel prior model for single image haze removal

Result analysis of proposed image enhancement algorithm based on a self organizing map network and wavelet transform.

Grey-level context-driven histogram equalisation

Empirical wavelet transform-based fog removal via dark channel prior

Similar Documents

Combination of contrast limited adaptive histogram equalisation and discrete wavelet transform for image enhancement

Effective image enhancement techniques for fog-affected indoor and outdoor images

Revealing the traces of histogram equalisation in digital images

Optimisation of transmission map for improved image defogging

Image Enhancement Using Colour Space Conversion and Discrete Wavelet Transform

Non-parametric modified histogram equalisation for contrast enhancement

Saliency-based dark channel prior model for single image haze removal

Result analysis of proposed image enhancement algorithm based on a self organizing map network and wavelet transform.

Grey-level context-driven histogram equalisation

Empirical wavelet transform-based fog removal via dark channel prior