🌐 Access the platform here: https://optivimo.online/
University: TOBB University of Economics and Technology
Team Name: FiveHorsemen
- Korhan Sevinç - AI Researcher, Student & Team Lead
- Utku Murat Atasoy - AI Researcher, Student
- Kerem Ay - AI Researcher, Student
- Umut Özdemir - AI Researcher, Student
- Süleyman Emir Akın - AI Researcher, Student
We are a team of passionate senior computer science students dedicated to improving the usage of image enhancement experience. Our diverse backgrounds in software development, design, AI, and user experience help us create innovative solutions for real-world problems.
In the digital age, images have become central to communication, documentation, and creative expression. However, existing image editing tools often fall short in meeting the diverse needs of users. Many platforms either offer a limited range of features or require significant technical expertise.
OptiVim-o (Optical Visual Modulator and Organizer) is an all-in-one, AI-powered image enhancement platform that bridges this gap by combining deep learning and modern computer vision techniques with an intuitive interface. The platform supports a variety of advanced features, designed to cater to both professional and casual users.
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Image Resize
Enabling users to resize images to custom dimensions or reduce file size intelligently without quality loss—using interpolation techniques and smart resizing algorithms. -
Format Conversion
Support for image format transformations across JPEG, PNG, BMP, and other common types, improving compatibility and storage optimization. -
Image Rotation
Allows fine-grained rotation by any degree to correct orientation or apply creative effects, with support for anti-aliasing and bilinear interpolation. -
Colorization
Revives grayscale or black-and-white images through deep learning-based automatic colorization, offering realistic tones and historically plausible palettes. -
Image Summarization
Uses AI to extract semantic content from an image and summarize it in natural language—combining computer vision and NLP techniques. -
Noise Removal
Utilizes deep denoising networks to remove various types of noise (Gaussian, salt-and-pepper, etc.) while preserving details in low-quality or compressed images. -
Image Restoration
Repairs old or damaged images through intelligent inpainting, removing scratches, stains, and aging artifacts to recover original aesthetics. -
Image Super-Resolution
Enhances low-resolution images through AI-powered upscaling techniques like SRCNN or ESRGAN to improve clarity and detail. -
Background Removal
Leverages semantic segmentation to separate foreground subjects with high accuracy, enabling creative reusability of visual elements. -
Age Manipulation
Applies age progression or regression effects using GAN-based facial transformation models for natural and photorealistic edits.
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Generative Fill (Outpainting)
Extends image borders by filling in missing or expanded areas using diffusion models. Ideal for artwork expansion and creative extensions. -
Object Removal
Detects and removes unwanted objects or individuals using inpainting techniques to intelligently reconstruct the background. -
Object Recolor
Allows users to recolor specific objects like clothing or accessories while preserving shading, lighting, and texture. -
Cartoon Stylization
Converts images into cartoon-like illustrations using neural style transfer. Perfect for avatars and creative visuals. -
Pixel Art Conversion
Transforms standard images into retro-style pixel art. Great for game developers and digital artists. -
Pixel Art Background and Character Generation
Automatically generates pixel art assets from regular images—ideal for games, animations, and storytelling media. -
Contrast Enhancement
Improves contrast and brightness using histogram equalization and adaptive machine-learned filters based on content.
For additional info, sprint logs and pages , whole project code in a zip file (including models), logo's, and final project report can be found at : https://drive.google.com/drive/folders/12Td4a5IuKAMbDdW-hPabQqFt4NuL2vW4?usp=drive_link
For any additional information or inquiries, please contact us via email: ksevinc@etu.edu.tr
- Special thanks to Mehmet Efe Ergin (@K4hveci) for the awesome logo design!
If you use this project or find it useful, please cite it as follows:
Korhan Sevinc, Utku Murat Atasoy, Kerem Ay , Umut Özdemir, Süleyman Emir Akın , GitHub repository, 2025.
Available at: https://github.com/korhansevinc/OptiVim-o.git