Asst. Professor in Computer Science and Engineering Department |Sistec College of Engg. Bhopal Madhya Pradesh, India.
Research Interest
My research interests are in Machine Learning, Generative AI and Internet of Things
Currently I am working on developing smart Home solutions and smart Village for remote villages in India. Some of such applications include automated irrigation, soil quality prediction, machine learning based weather and price prediction systems.
Awards
No data available
Memberships
Computer Society of India (MID: 3021250003)
Publications
Image Haze Removal using Image Visibility Restoration &Edge Preserving Decomposition
Abstract – The limited visibility caused by fog and haze is a most important problem for several function therefore haze removal by these images for visibility improvement is necessary. In this paper, haze removal is done by make use of the dark channel prior procedure and estimation of the Atmospheric light technique. Dark channel region is calculated by using dark channel algorithm then the atmospheric variation is calculated on that dark channel region. The estimate of pixel value in the dark region and the atmospheric variation estimate is the estimate of transmission obtained as the transient image. Further the optimization of data is done by
smoothing to obtain the radiant image or the dehazed image.
Patents
Projects
Scholars
Interests
Deep Learning
Generative AI
Internet of Things
Machine Learning
Thought Leaderships
There are no Thought Leaderships associated with this faculty.
Top Achievements
Research Area
No research areas found for this faculty.
Education
2014
B.Tech
RTMNU Nagpur University
India
2017
M.Tech
RGPV Bhopal
India
Experience
Asst. Professor in Computer Science and Engineering Department |Sistec College of Engg. Bhopal Madhya Pradesh, India.
Research Interests
My research interests are in Machine Learning, Generative AI and Internet of Things
Currently I am working on developing smart Home solutions and smart Village for remote villages in India. Some of such applications include automated irrigation, soil quality prediction, machine learning based weather and price prediction systems.
Awards & Fellowships
No data available
Memberships
Computer Society of India (MID: 3021250003)
Publications
Image Haze Removal using Image Visibility Restoration &Edge Preserving Decomposition
Abstract – The limited visibility caused by fog and haze is a most important problem for several function therefore haze removal by these images for visibility improvement is necessary. In this paper, haze removal is done by make use of the dark channel prior procedure and estimation of the Atmospheric light technique. Dark channel region is calculated by using dark channel algorithm then the atmospheric variation is calculated on that dark channel region. The estimate of pixel value in the dark region and the atmospheric variation estimate is the estimate of transmission obtained as the transient image. Further the optimization of data is done by
smoothing to obtain the radiant image or the dehazed image.
Asst. Professor in Computer Science and Engineering Department |Sistec College of Engg. Bhopal Madhya Pradesh, India.
Research Interests
My research interests are in Machine Learning, Generative AI and Internet of Things
Currently I am working on developing smart Home solutions and smart Village for remote villages in India. Some of such applications include automated irrigation, soil quality prediction, machine learning based weather and price prediction systems.
Awards & Fellowships
No data available
Memberships
Computer Society of India (MID: 3021250003)
Publications
Image Haze Removal using Image Visibility Restoration &Edge Preserving Decomposition
Abstract – The limited visibility caused by fog and haze is a most important problem for several function therefore haze removal by these images for visibility improvement is necessary. In this paper, haze removal is done by make use of the dark channel prior procedure and estimation of the Atmospheric light technique. Dark channel region is calculated by using dark channel algorithm then the atmospheric variation is calculated on that dark channel region. The estimate of pixel value in the dark region and the atmospheric variation estimate is the estimate of transmission obtained as the transient image. Further the optimization of data is done by
smoothing to obtain the radiant image or the dehazed image.
