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• FILTERS
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Harness the power of machine learning to enhance images with denoising, enabling your application to produce high quality images in a fraction of the time traditional denoising filters take.

Radeon™ Image Filtering SDK

Check out Radeon™ Image Filtering SDK on GitHubGet RIF developer guide

• Uses AMD’s MIOpen machine learning library or Microsoft® DirectML for AI-accelerated denoising and upscaling.
• Also includes standard GPU-accelerated filters for rotation, blurring, tone mapping, color changes, anti-aliasing, and edge detection (the standard filters are not AI-accelerated).
• Supports AMD GPUs as well as those of other vendors using OpenCL™ for AI-accelerated denoising and standard GPU-accelerated filters.
• Supports Apple® Metal® for standard GPU-accelerated filters only.
• Works across Windows®, Linux®, and macOS® (for standard GPU-accelerated filters only).

The benefits of Radeon™ Image Filtering SDK 

AI denoiser

Intelligently remove artefacts from your images using the Radeon Image Filtering SDK.

The Radeon™ Image Filtering SDK provides a comprehensive set of filters

• ACES filmic tone mapping

• AI denoiser

• AI upscaler

• Auto linear tone mapping

• Bilateral denoiser

• Bloom

• Color space changing

• Depth of field

• Dilate (erode)

• Drago tone mapping

• Dynamic resampling

• Edge avoided wavelet

• Emboss

• Expoential tone mapping

• Gamma correction

• Gaussian blur

• Horizontal flip

• Hue & saturation changing

• Laplace edge detection

• Linear photographic tone mapping

• Linear tone mapping

• Local weight regression

• Max-white tone mapping

• Median denoising

• Morphological anti-aliasing

• Motion blur

• Multiplication blur

• Photograph tone mapping

• Posterization

• Range remap

• Reinhard tone mapping

• Resampling

• RGB noise

• Rotation

• Sharpen

• Sobel edge detection

• Spread filter

• Temporal accumulation

• Vertical flip

• Weighted sum

Intelligent noise reduction

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JPG (1920x1080)

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Harness the power of machine learning to enhance images with denoising, enabling your application to produce high quality images in a fraction of the time traditional denoising filters take.

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