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ELOS 2022

Apurva Kumari Singh

Apurva Kumari Singh, Speaker at Optics Conference
B V Raju Institute of technology, India
Title : Single Image Dehazing and Defogging for the estimation of optimal transmission map using restoration techniques


Bad weather has an adverse impact on outdoor vision systems and also increases the possibilities of traffic crashes and road accidents. Outdoor images captured in bad weather conditions such as haze and fog are degraded due to the scattering of atmospheric particles. The decreased visibility significantly impacts on driving assistance systems developed for automatic vehicle. So, clear visibility is very essential for the outdoor computer vision systems. Image deweathering is one of the ill posed problems since the transmission depth estimation is very uncertain. Therefore, the most accurate estimation of transmission depth is indispensable. Traditional state-of-the-art restoration techniques frequently generate halo artifacts or reduce the contrast of the observed object in the restored images due to unequal transmission depth distribution. The most difficult aspect of previous state-of-the-art techniques is accurately and effectively estimating the transmission depth from object to object in a short period of time. The restoration-based approaches are used to estimate the refinement of the transmission map to recover scene radiance. The following performance metrics are used for quantitative analysis of the experimental results: contrast gain, blind contrast assessment (e, r), peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and image visibility measurement (IVM).

What will audience learn from your presentation?

? Scattering phenomenon for atmospheric particles
? Image degradation model to understand the formation of image in presence of bad weather
? Image processing algorithms and different approaches would help to researcher or academician to
expand their research in different domains. The restoration based methods provides a suitable
solutions for real time implementation. The solution will reduce the complexity of processing time
and restore the clear and visible image


She received the Ph.D. degree in electrical engineering from the Birla Institute of Technology and SciencePilani, Hyderabad. She is currently working as an Associate Professor with the Department of Electronics and Communication Engineering, B. V. Raju Institute of Technology (BVRIT) Narsapur, Hyderabad. Her research interests include digital image and video processing, particularly haze and fog removal, and contrast enhancement. She has 6+ years of experience of educational and industrial Projects at national/international levels. She is a reviewer of IEEE Transactions on Circuits and Systems for Video Technology, IEEE Access, ACM Computing Surveys, IET Image Processing, and Neurocomputing.