Image Dehazing Based on Physical Model and Gray Projection
Joxy John1, Swapna Davies2
1Joxy John, Department of Electronics and Communication Engineering, Rajagiri School of Engineering and Technology, Ernakulam (Kerala), India.
2Swapna Davies, Department of Electronics and Communication Engineering, Rajagiri School of Engineering and Technology, Ernakulam (Kerala), India.
Manuscript received on 16 December 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 241-245 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10461291S319/19©BEIESP | DOI: 10.35940/ijeat.A1046.1291S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The climatic scattering and ingestion offer climb to the ordinary marvel of obscurity, which truly impacts the detectable quality of view. Dehazing is the technique used to expel the dimness. In late year, various works have been done to improve the detectable quality of picture taken under horrible climate. The images that are taken under overcast conditions experience the evil impacts of shading contortion and attenuation. The proposed strategy is in light of the Dark Channel Prior speculation and gray projection. The transmission map is resolved using the determined estimation of atmospheric light. It uses box filter to lessen the complexity and to improve the computing speed. This computation can restore image with incredible quality and the speed of image computation is high. The proposed strategy is differentiated with other image enhancement strategies and image restoration techniques. It is likewise exceptionally proficient technique since it can process huge images within less time.
Keywords: Dark Projection, Image dehazing, Physical Model, Transmission Estimation.
Scope of the Article: Image Security