This paper is published in Volume-3, Issue-2, 2017
Area
Image Processing
Author
Surabhi Deshpande, Shivali Pande, Saloni Dajjuka, Harshal Baheti
Org/Univ
Shri Ramdeobaba College of Engineering and Management, Nagpur, India
Pub. Date
26 April, 2017
Paper ID
V3I2-1376
Publisher
Keywords
Fog/Haze, Beagle Bone Black Board, LCD Screen, Infrared Camera, Image Processing.

Citationsacebook

IEEE
Surabhi Deshpande, Shivali Pande, Saloni Dajjuka, Harshal Baheti. Image Processing For Haze Removal, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Surabhi Deshpande, Shivali Pande, Saloni Dajjuka, Harshal Baheti (2017). Image Processing For Haze Removal. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.

MLA
Surabhi Deshpande, Shivali Pande, Saloni Dajjuka, Harshal Baheti. "Image Processing For Haze Removal." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.

Abstract

This paper focuses on implementing image processing for human understanding in low visibility using different image processing technologies, high-speed processors, employing the BBB board in designing embedded systems and protocols with their comparative study. We have proposed a system called as “image processing for human understanding in low visibility”. The purpose of this application is to overcome the problem of Low-visibility conditions for Navigation of vehicles. Driving at night, in blizzards, in sand storms, or in fog form an obvious set of challenging conditions. The main aim is to solve the problem of low visibility by advanced image processing technique purpose to improve the perceptual quality of images that lack the contrast or color depth perceived by the human visual system. This paper provides the use of high-speed infrared cameras and advanced image processing techniques to deal with the problem of low visibility.