Fast Bilateral Filter
Efficient image processing library for edge-preserving smoothing.
- Status
- Not yet determined
- Last checked
- Unverified
- License
- Open source
- Pricing
- Free tier · from $0
What it is
The Fast Bilateral Filter is a high-performance library designed to apply bilateral filtering, which smooths images while preserving edges. It's particularly useful in computer vision applications where maintaining sharp edges is crucial.
The Fast Bilateral Filter stands out with its optimized implementation, making it ideal for real-time applications and large-scale data processing.
When it fits — and when it doesn’t
A good fit for
Developers working on real-time image processing systems who need edge-preserving smoothing.
Researchers requiring efficient bilateral filtering for large datasets.
Look elsewhere if
Projects that require non-edge-preserving filters
Applications where performance is not a critical factor
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support
The library is primarily in C++ and lacks native bindings for other languages, which can limit its use in multi-language projects.
- 02
Complex setup process
Setting up the Fast Bilateral Filter requires manual configuration of dependencies and build scripts, which can be time-consuming and error-prone for new users.
- 03
Performance degradation on large images
The library may experience performance issues when processing very high-resolution images due to memory constraints and computational complexity.
What it does well
High-performance edge-preserving smoothing
Optimized for real-time applications
Cross-platform compatibility
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Fast Bilateral Filter
Setup steps, common gotchas and what to check after 30 days.