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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1811A36


Registration ID:
192650

Page Number

285-299

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Title

PERFORMANCE ANALYSIS OF HAZE REMOVAL TECHNIQUE USING ADVANCED DARK CHANNEL PRIOR FILTER

Abstract

Images of outdoor scenes are usually degraded by the turbid medium (e.g., particles, water-droplets) in the atmosphere. Haze, fog, and smoke are such phenomena due to atmospheric absorption and scattering. The irradiance received by the camera from the scene point is attenuated along the line of sight. Furthermore, the incoming light is blended with the airlight. The degraded images lose the contrast and color fidelity. In poor weather condition, fog removal from an image is an unavoidable problem. Various methods of fog removal have been described in literature. Initially, methods using multiple images which included the use of polarization filter. This method suffers from high time complexity and requirement of multiple images, resulting in non suitability to real time applications. This lead to the development of single image fog removal technique such as Dark Channel Prior (DCP), Improved Dark Channel Prior (IDCP), Dark channel prior with Histogram Specification, Anisotropic Diffusion and Improved Dark Channel Prior using Guided Filter. The former strategy is used for estimating and refining transmission map while the later is used to estimate and refine air-light. Existing methods for Haze removal are inefficient for computation of air-light. There is a need of an efficient method for calculation of air-light and one method for final noise filtration with edge sharpness enhancement. This dissertation provides a hybrid strategy based on IDCP using Guided Filter. In most of the previous existing single image methods, the atmospheric light is estimated from the most haze-opaque pixel. For example, the pixel with highest intensity is used as the atmospheric light. But in real images, the brightest pixel could on a white car or a white building. The dark channel of a haze image approximates the haze denseness well. In proposed method, the dark channel is used to improve the atmospheric light estimation because the intensity of the dark channel is a rough approximation of the thickness of the haze. This property is used to estimate the transmission and the atmospheric light. We first pick the top 0.1% brightest pixels in the dark channel. These pixels are most haze opaque. Among these pixels, the pixels with highest intensity in the input image are selected as the atmospheric light. This simple method based on the dark channel prior is more robust than the existing “brightest pixel” method. Also, the guided filter performs very well in terms of both quality and efficiency in a great variety of applications, such as noise reduction, detail smoothing/enhancement and blur removal on image before final recovery of haze free image. In addition, this research work will compare the above mentioned techniques using several performance metrics such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Haze Improve Index and Visibility Metric. MATLAB R2013a has been used as an implementation platform. Image processing toolbox and generalized toolbox are used from MATLAB software. The results will reflect the visual quality of our hybrid approach is much better as well as the performance metrics mentioned above images to a great.

Key Words

Image, dehaze, Haze, Air-light, Contrast, Attenuation, Dark channel

Cite This Article

"PERFORMANCE ANALYSIS OF HAZE REMOVAL TECHNIQUE USING ADVANCED DARK CHANNEL PRIOR FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.285-299, November-2018, Available :http://www.jetir.org/papers/JETIR1811A36.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PERFORMANCE ANALYSIS OF HAZE REMOVAL TECHNIQUE USING ADVANCED DARK CHANNEL PRIOR FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp285-299, November-2018, Available at : http://www.jetir.org/papers/JETIR1811A36.pdf

Publication Details

Published Paper ID: JETIR1811A36
Registration ID: 192650
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 285-299
Country: Sonepat, Haryana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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