IFF SDK benchmarks
This page presents some test results of real machine vision cases where IFF SDK is used, such as:
- Noise reduction
- RTSP and WebRTC streaming (coming)
- Image recording (coming)
- Color processing (coming)
Denoise
To remove noise from images, IFF SDK has a denoising module that uses Discrete Wavelet Transform (DWT) and thresholding. There are two denoise options available in the SDK:
- RGB denoise which is applied after demosaicing (debayering),
- RAW denoise for Mono and Bayer (raw) images.
See denoise implementation details and parameter descriptions in the IFF SDK technical manual.
Testing results of the denoising module on a system with 4K camera and different NVIDIA GPUs are shown in the table.
Denoise performance for 4K UHD (3840 x 2160) 16-bit images
GeForce RTX 3070 Ti Laptop
- RAW Denoise: 1.77 ms
- RGB Denoise: 3.25 ms
GeForce RTX 2080 Ti
- RAW Denoise: 2.20 ms
- RGB Denoise: 3.55 ms
Jetson AGX Orin
- RAW Denoise: 3.72 ms
- RGB Denoise: 7.19 ms
Jetson AGX Xavier
- RAW Denoise: 6.76 ms
- RGB Denoise: 13.45 ms
Image comparison
Download the original TIFF images to explore the noise reduction result for a specific case with XIMEA MC124CG-SY color camera as an image source and laptop equipped with RTX 3070 Ti GPU.
Standard image processing pipeline with:
- 3840 x 2160 ROI on the camera
- DFPD high-quality demosaic with 11×11 processing window
- Denoise:
- without any denoise or
- with both RAW and RGB denoise options applied
- Image recording in TIFF format
Without denoise
After RAW and RGB denoise
Comparison of two cropped (900 x 600) images with Before/After image slider:
- Before – without any denoise
- After – with both RAW and RGB denoise
10 reasons to use
Latest IFF SDK Color Study release
