Improved Multiple Fusion Techniques Based Single Image Dehazing

Ms. Ajeeta singh bhadoria, Dr Vandana vikas thakre


In view of the unfavorable climate circumstances like the presence fog or overwhelming rain, computerized pictures are simply put through to a broad variety of assortment during acquisition, which may diminishes visual effect & affects post-processing of the picture. Pictures debased by mist adversely influence the class of vision-based physical security system. This prompts to accidents in air, on sea & on the road. In any case, for enhancing the picture appearance to a human viewer, or to change a picture to a format more suitable to machine processing, improving techniques ought to be utilized. After improvement is again re-established the improved picture via restoration techniques. Here, we enhance our image by applying propose method provide us better results when contrasted with base techniques. The output image is clearer in compare of base paper image and hollow effect is also reduced. In our propose algo in view of another, non-local prior. The algorithm depends on the suspicion that shades of a fog-free picture are well approximated via a pair of hundred particular colors that frame tight groups in RGB space. In this algorithm we use low pass filter & band pass filter for smoothing the image. Calculate the PSNR and Time.


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MISS. MAYURI V. BADHE1 , PROF. PRABHAKAR L. RAMTEKE, “A Survey on Haze Removal using Image Visibility Restoration Technique”. International Journal of Computer Science and Mobile Computing. IJCSMC, Vol. 5, Issue. 2, February 2016

Chhamman Sahu1, Rajkumar Sahu2, “Comparative Study on Fusion Based Image Dehazing”. International Journal of Advanced Research in Computer and Communication Engineering. ISSN (Online) : 2278-1021 ISSN (Print) : 2319-5940, Vol. 3, Issue 6, June 2014

Manpreet Kaur Saggu†* and Satbir Singh, “A Review on Various Haze Removal Techniques for Image Processing”. International Journal of Current Engineering and Technology E-ISSN 2277 – 4106, P-ISSN 2347 – 5161 ©2015 INPRESSCO®, All Rights Reserved

Krishna Raj K R 1, Neena K A2, Pearlsy P V, “SINGLE IMAGE DEHAZING – A REVIEW”. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056, p-ISSN: 2395-0072. Volume: 04 Issue: 04 | Apr -2017

Poonam1 Dr.VK Banga2 Gurjit singh, “A Review on Haze Removal Techniques”. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 08 | Aug -2017 ISSN: 2395-007

Yin Gao, Yijing Su, Qiming Li, Jun Li*, “Single Fog Image Restoration via Multi-scale Image Fusion”. 2017 3rd IEEE International Conference on Computer and Communications, 978-1-5090-6352-9/17/$31.00 ©2017 IEEE

Zhigang Ling, Jianwei Gong, Guoliang Fan, Senior Member, IEEE, and Xiao Lu “Optimal Transmission Estimation via Fog Density Perception for Efficient Single Image Defogging” 1520-9210 (c) 2017 IEEE.

Changli Lii, Tanghuai Fan, Xiao Ma, Zhen Zhang Hongxin Wui, Lin Chen “An Improved Image Defogging Method Based on Dark Channel Prior” 2017 2nd International Conference on Image, Vision and Computing.

Md. Imtiyaz Anwar, Arun Khosla, and Gajendra Singh ‘Visibility Enhancement with Single Image Fog Removal scheme using a Post-processing Technique’2017 4th International Conference on Signal Processing and Integrated Networks (SPIN)

Jaiveer Singh Sikarwar, Abhinav Vidwans “Modified Dark Channel Prior Model and Gaussian Laplacian Filtering with Transmission Map For Fog Removal” International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) – 2016 978-1-4673-9939-5/16/$31.00 ©2016 IEEE.


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