Apellai
A subsonic client, built using Kotlin, for storing, filtering, searching music libraries and podcasts in servers, with additional options for like/dislike, media controls and server switching.
A subsonic client, built using Kotlin, for storing, filtering, searching music libraries and podcasts in servers, with additional options for like/dislike, media controls and server switching.
Built with MERN stack, a web application for managing the residence and meal system for hostels, with separate interfaces for tenants and owners.
A Flutter application for tracking progress of forming new habits and visualising over defined periods of time, with additional features of priority-based task scheduling.
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.
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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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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