Prothito Shovon Majumder

Prothito Shovon Majumder

Adjunct Lecturer, BRACU.
RA at CAIL, DU.
CS Graduate, University of Dhaka.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Vision Transformer and FFT-ReLU Fusion for Advanced Image Deblurring

Preprint, 2024

In this paper, we utilise the FFT-ReLU prior to enhance relevant frequency components using the Fast Fourier Transform (FFT) while applying ReLU sparsity to suppress noise. Our approach utilizes a Vision Transformer as a pre-processing model to generate a less blurry intermediate image by capturing both local and global features, which is then refined through FFT-ReLU, resulting in a sharp, high-quality output. Our experimental results demonstrate that our method consistently outperforms state-of-the-art image deblurring models, providing sharper and more visually compelling images.

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Conference Papers

Blind Image Deblurring With FFT-ReLU Sparsity Prior

IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

The paper introduces a method for blind image deblurring, which is the process of recovering a sharp image from a blurred one without prior knowledge about the blur kernel. The proposed method leverages a prior that targets the blur kernel to achieve effective deblurring across a wide range of image types. The authors' extensive empirical analysis shows that their algorithm achieves results that are competitive with the state-of-the-art blind image deblurring algorithms, and it offers up to two times faster inference, making it a highly efficient solution.

Recommended citation: Abdul Mohaimen Al Radi, Prothito Shovon Majumder, & Md. Mosaddek Khan. (2024). Blind Image Deblurring with FFT-ReLU Sparsity Prior.
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