Research Article
A Novel Technique to Enhance the Visibility of Sand-Dust Images
@INPROCEEDINGS{10.1007/978-3-031-66044-3_6, author={Harini Kalwa and Kommu Gangadhara Rao and Maram Satya Pavan and Varshith Reddy Annam and Hemath Kumar Challa and Yeshwanth Keerthi}, title={A Novel Technique to Enhance the Visibility of Sand-Dust Images}, proceedings={Pervasive Knowledge and Collective Intelligence on Web and Social Media. Second EAI International Conference, PerSOM 2023, Hyderabad, India, November 24--25, 2023, Proceedings}, proceedings_a={PERSOM}, year={2024}, month={8}, keywords={Blue Channel White balancing edge accuracy Guided image filtering}, doi={10.1007/978-3-031-66044-3_6} }- Harini Kalwa
Kommu Gangadhara Rao
Maram Satya Pavan
Varshith Reddy Annam
Hemath Kumar Challa
Yeshwanth Keerthi
Year: 2024
A Novel Technique to Enhance the Visibility of Sand-Dust Images
PERSOM
Springer
DOI: 10.1007/978-3-031-66044-3_6
Abstract
At times, we must snap pictures in the sand and dusty environments. The obtained images exhibit low visibility and color deviation properties, which have a significant negative impact on computer vision systems due to the impact of sand dust particles, light gets scattered and absorbed, leading to a blurry image with low contrast. An efficient and quick algorithm is suggested to improve the images that are recorded in order to address those issues. The approach used to improve the photos compensates for the lost value in the blue channel first. The color of the sand dust images is then corrected using white balancing technology. Guided image filtering is employed to enhance the image’s contrast and edge precision, while an adaptive technique is utilized to determine the magnification factor of the detail layer, which in turn improves the image’s detailed information.
