Image Dehazing Technique Based On DWT Decomposition and Intensity Retinex Algorithm

Authors(2) :-Sunita Shukla, Prof. Silky Pareyani

Conventional designs use multiple image or single image to deal with haze removal. The presented paper uses median filer with modified co-efficient (16 adjacent pixel median) and estimate the transmission map and remove haze from a single input image. The median filter prior(co-efficient) is developed based on the idea that the outdoor visibility of images taken under hazy weather conditions seriously reduced when the distance increases. The thickness of the haze can be estimated effectively and a haze-free image can be recovered by adopting the median filter prior and the new haze imaging model. Our method is stable to image local regions containing objects in different depths. Our experiments showed that the proposed method achieved better results than several state-of-the-art methods, and it can be implemented very quickly. Our method due to its fast speed and the good visual effect is suitable for real-time applications. This work confirms that estimating the transmission map using the distance information instead the color information is a crucial point in image enhancement and especially single image haze removal.

Authors and Affiliations

Sunita Shukla
M. Tech Scholar, Gyan Ganga College of Technology Jabalpur, Madhya Pradesh, India
Prof. Silky Pareyani
Assistant Professor, Gyan Ganga College of Technology Jabalpur, Madhya Pradesh, India

AF: Adaptive filter, AHE: Adaptive Histogram Equalization, LOE: Lightness Order Error

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Publication Details

Published in : Volume 5 | Issue 1 | January-February 2019
Date of Publication : 2018-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 116-122
Manuscript Number : CSEIT195121
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sunita Shukla, Prof. Silky Pareyani, "Image Dehazing Technique Based On DWT Decomposition and Intensity Retinex Algorithm", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.116-122, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT195121
Journal URL : http://ijsrcseit.com/CSEIT195121

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