EIDA: An Effective Image Deraining Approach Based on Upscaling Method

The process of removing wet pixels from a picture is known as image deraining. As the image is being captured from different angles, the wet pixels add character with it. Many filtering techniques are employed in the literature for picture de-raining. Nevertheless, precipitation caused the image...

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Bibliographic Details
Published in2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Vol. 2; pp. 1 - 5
Main Authors Jain, Arti, Kaliyar, Rohit Kumar, Sharma, Shallu
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.03.2024
Subjects
Convolution
Deraining
Filtering
Image resolution
Image restoration
Neural network
PNSR
Precipitation
Technological innovation
Upscaling
Visual perception
Online AccessGet full text
DOI10.1109/IATMSI60426.2024.10502412

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Summary:The process of removing wet pixels from a picture is known as image deraining. As the image is being captured from different angles, the wet pixels add character with it. Many filtering techniques are employed in the literature for picture de-raining. Nevertheless, precipitation caused the image's resolution to decrease. Therefore, In the proposed work, deraining is unified with an upscaling technique to get a rain-free informative, and magnificent image. In the proposed approach, the first deraining is performed with the restormer to remove rainy pixels from the image. The Restormer has been extensively used and preferred as it captures long-range pixel interactions without generating unrealistic pixels. The derained image is then unsampled to have good visual perception quality. The results indicate that the suggested approach outperforms the basic deraining strategies in terms of both PSNR and SSIM.
DOI:10.1109/IATMSI60426.2024.10502412