An Android library providing 19 efficient image filters with NDK optimization for real-time processing.
android-image-filter is an open-source Android library that provides 19 different image filters for bitmap manipulation in Android applications. It solves the problem of implementing complex image processing algorithms by offering pre-built, optimized filters that can be applied with minimal code. The library uses NDK for performance-critical operations to ensure efficient real-time image processing on mobile devices.
Android developers who need to add image filtering capabilities to their apps without implementing complex graphics algorithms from scratch. This includes developers building photo editing apps, social media applications, or any app requiring real-time image effects.
Developers choose android-image-filter because it offers a comprehensive set of 19 professionally implemented filters with a dead-simple API that requires just one method call. The NDK optimization provides better performance than pure Java implementations, making it suitable for real-time processing scenarios.
some android image filters
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Uses Native Development Kit for critical filters like blur and glow, ensuring efficient real-time processing on Android devices, as highlighted in the README for performance efficiency.
Offers a single method call (BitmapFilter.changeStyle) with optional parameters, making it dead-simple to apply filters with minimal code, as demonstrated in the usage examples.
Includes 19 pre-built filters such as Grayscale, Oil Painting, HDR, and Gotham, covering artistic, vintage, and practical effects for diverse use cases.
Allows customization for filters like blur mask size or neon color components, with default values provided for ease of use, as shown in the code snippets.
Requires manual NDK installation and library module import in Android Studio, which is cumbersome compared to modern Gradle dependencies and may not align with current development practices.
README has broken links (e.g., NDK setup link) and lacks detailed examples, error handling, or best practices, making integration and troubleshooting difficult.
Provides a static set of 19 filters without support for creating custom effects or modifying algorithms, limiting flexibility for unique project requirements.