Enhance your images instantly with AI-powered super resolution (2x, 4x) and deblurring.

Official code for the paper "A Dataset for Deep Image Deblurring Aided by Inertial Sensor Data"

Thesis Project: AI-powered web application for real-time deblurring and analysis of vehicle license plate images. Built an end-to-end restoration pipeline using a CNN for distortion classification, a GAN for high-fidelity deblurring, and a CRNN for OCR-based character extraction, delivering sharper plates and faster recognition within milliseconds.

Statistical Analysis of Image Deblurring Methods Performance Across Classical and AI-Based Approaches

A deep learning project that leverages U-Net architecture and transfer learning with pretrained CNN models to restore blurred text images. Built with TensorFlow/Keras and includes a Streamlit web application for easy demonstration.

Sign up & login UI, Firebase integration for an AI image Deblurring app

CaptionCraft: Your creative hub for digital content. AI-driven tools include image and caption generation, colorization, super-resolution, deblurring, background removal, story creation, and CraftGenie chatbot.

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Image set I used when training my deblurring AI capstone

A repository for course project on AI methods for image denoising and deblurring.

A comprehensive local AI toolkit for image and video restoration. Includes high-performance denoising, deblurring, upscaling, and frame generation

AI-Driven Underwater Image Enhancement System: Enhances underwater images using classical (CLAHE, dehazing, noise reduction) and AI-driven (deep contrast, deblurring, color correction, depth-aware) pipelines for clearer, natural, and artifact-free visuals.

We are aiming for a website that receives users images. Then, it basically acts like an automatic AI photoshop with only 2 features: deblurring and colorizing. Modified Images are then downloadable as png or jpg.

A Production-Grade AI Image Restoration Engine Neural Image Restore is a powerful AI-driven engine capable of 4× upscaling, denoising, deblurring, and face restoration. It intelligently merges Real-ESRGAN (detail hallucination) and GFPGAN (face reconstruction) into a unified, elegant API and Dashboard.

Developed an AI-powered image processing tool that uses a Deep learning colorization model (Caffe) with 86% accuracy to restore colors in black-and-white images. Implemented a Wiener filter-based deblurring algorithm with Fourier transforms to enhance image clarity and used PyTesseract and OCR to extract text from image.

Thesis Project: AI-powered web application for real-time deblurring and analysis of vehicle license plate images. Built an end-to-end restoration pipeline using a CNN for distortion classification, a GAN for high-fidelity deblurring, and a CRNN for OCR-based character extraction, delivering sharper plates and faster recognition within milliseconds.

> 🤖 David One AI is a fully offline multilingual AI assistant that supports voice and text input, image editing, enhancement, deblurring, and intelligent coding. Built using the Arya Framework, it works after one-time setup without internet. Supports 9+ Indian languages including Hindi, Bengali, Tamil, and more

FaceClear is an AI-powered face deblurring web application that restores clarity in blurry facial images. Built using a custom-trained autoencoder model, the system removes motion blur, low-light blur, and camera shake from facial photos while preserving identity and details.

Pollen’s Profiling is an AI-based system that classifies pollen grains from microscope images using a multi-scale CNN and SRGAN deblurring. It automates expert analysis, achieving up to 97.7% accuracy, and is useful in allergy monitoring, environmental studies, and botanical research.