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Title: :  Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement
PaperId: :  9726
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 2 2019
DUI:    16.0415/IJARIIE-9726
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SUBHASHREE.SPrince Shri Venkateshwara Padmavathy Engineering College
Vidhya.MPrince Shri Venkateshwara Padmavathy Engineering College
SENTHILKUMAR.K.KPrince Shri Venkateshwara Padmavathy Engineering College

Abstract

IMAGE PROCESSING
Dark channel prior, Image de-hazing, Image construction, Contrast enhancement
Quality of pictures caught by sensors of the camera are degraded by haze. The haze evacuation, called dehazing, is ordinarily done under the physical degradation model, which requires a solution for an ill-posed inverse problem. To soothe the trouble of the reverse issue, a novel method called Dark channel Prior (DCP) was as of late proposed and has received a lot of consideration. Environmental factors, such as haze and cloudiness influence the picture quality and make it unacceptable for real time applications such as environment surveillance, which require pictures with clear perceivability. By and large, reproduction of mist free picture from a solitary info picture is very testing. Proposed DCP based picture defogging technique with enhanced map to abstain from artifacts, TM’s are obtained for RGB and YCbCr colour spaces. Three transmission maps for the R, G, and B channels are used to process a mean transmission map. In the YCbCr space, Y channel is utilized to figure the map. The two transmission maps are refined by protecting edge data for developing two middle pictures, which are given with weights to obtain dehazed yield. Dehazed image thus obtained suffers from low contrast and dimness. To overcome this, we go for contrast enhancement method. The RGB image is converted to HSV space. The luminance component, ‘v’ alone is considered for enhancement. Compute the illumination component and calculate the reflectance of the image. The illumination of the image is adjusted and it is multiplied by the reflectance image to get the adjusted luminance, which can be rescaled to 0 to 255 to obtain the enhanced luminance.

Citations

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IJARIIE SUBHASHREE.S, Vidhya.M, and SENTHILKUMAR.K.K. "Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 2 2019 Page 869-874
MLA SUBHASHREE.S, Vidhya.M, and SENTHILKUMAR.K.K. "Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement." International Journal Of Advance Research And Innovative Ideas In Education 5.2(2019) : 869-874.
APA SUBHASHREE.S, Vidhya.M, & SENTHILKUMAR.K.K. (2019). Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement. International Journal Of Advance Research And Innovative Ideas In Education, 5(2), 869-874.
Chicago SUBHASHREE.S, Vidhya.M, and SENTHILKUMAR.K.K. "Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 2 (2019) : 869-874.
Oxford SUBHASHREE.S, Vidhya.M, and SENTHILKUMAR.K.K. 'Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 2, 2019, p. 869-874. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Image_De_hazing_Based_on_Improved_Dark_Channel_Prior_and_Contrast_Enhancement_ijariie9726.pdf (Accessed : ).
Harvard SUBHASHREE.S, Vidhya.M, and SENTHILKUMAR.K.K. (2019) 'Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement', International Journal Of Advance Research And Innovative Ideas In Education, 5(2), pp. 869-874IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Image_De_hazing_Based_on_Improved_Dark_Channel_Prior_and_Contrast_Enhancement_ijariie9726.pdf (Accessed : )
IEEE SUBHASHREE.S, Vidhya.M, and SENTHILKUMAR.K.K, "Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 2, pp. 869-874, Mar-App 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Image_De_hazing_Based_on_Improved_Dark_Channel_Prior_and_Contrast_Enhancement_ijariie9726.pdf [Accessed : ].
Turabian SUBHASHREE.S, Vidhya.M, and SENTHILKUMAR.K.K. "Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 2 ().
Vancouver SUBHASHREE.S, Vidhya.M, and SENTHILKUMAR.K.K. Image De-hazing Based on Improved Dark Channel Prior and Contrast Enhancement. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : ]; 5(2) : 869-874. Available from: https://ijariie.com/AdminUploadPdf/Image_De_hazing_Based_on_Improved_Dark_Channel_Prior_and_Contrast_Enhancement_ijariie9726.pdf
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