Enhance Lab develops software that utilizes deep learning for denoising, super-resolution, and high-dynamic range imaging from short sequences of raw images captured on smartphones. This technology enhances image quality, enabling users to achieve DSLR-level photographs and improved thermal imaging from standard mobile devices.
Funding
Funding not disclosed
Founders
Product
Problem
Smartphones often capture raw images with noise, limited resolution, and dynamic range, hindering the ability to produce high-quality photographs, especially in challenging lighting conditions or when using digital zoom. Traditional methods to address these limitations can be computationally intensive and may not be suitable for real-time mobile processing.
Solution
Enhance Lab develops AI-powered software solutions that enhance image quality from short sequences of raw images captured on smartphones. By using deep learning and inverse problem techniques, the software performs denoising, super-resolution, and high-dynamic range (HDR) imaging to produce DSLR-quality photographs. The technology fuses bursts of raw images captured by handheld cameras, leveraging the embedded GPU of Android and iOS devices for efficient processing. This enables users to capture enhanced images, including superzoom and supermacro shots, as well as improved thermal imaging, directly on their mobile devices.
Target Audience
The primary target audience includes smartphone manufacturers seeking to enhance their camera capabilities, as well as mobile application developers looking to integrate advanced image processing features into their applications.
Features
- AI-based fusion of short sequences (less than 1 second) of raw images
- Deep learning algorithms for denoising, super-resolution, and HDR imaging
- Optimization for running on Android smartphones and iPhones using the embedded GPU
- Superzoom capabilities for high-resolution digital zoom
- Supermacro capabilities for enhanced macro photography
- Improved thermal imaging through denoising and 4x super-resolution