Gaussian Noise σ=10 — Base A (512px)
Base A with additive Gaussian noise at σ=10 (seed 4210). Compare against the clean reference in this set to score a denoise filter.
Specifications
- Width
- 512
- Height
- 512
- Noise Type
- gaussian
- Sigma
- 10
- Seed
- 4210
- Reference
- img-noise-a-clean
What is a .png file?
PNG (Portable Network Graphics) is a raster image format using lossless DEFLATE compression. It supports full 8- or 16-bit-per-channel truecolor, palette, and greyscale modes with an optional alpha channel, but no animation. It is the standard choice for screenshots, logos, and graphics with sharp edges or transparency.
How to use this file
Use an example PNG to test image decoders, alpha-compositing, thumbnail generators, and format converters, or to verify that a pipeline preserves transparency and color depth on round-trip.
How to use this file for testing
“Gaussian Noise σ=10 — Base A (512px)” is a deterministic Novus Examples fixture for Denoise testing, Image pipeline QA. Noisy images paired with their exact clean reference, with documented noise type, sigma, and seed — everything you need to measure how well a denoise filter recovers the original.
Documented properties for this file: 512×512 · seed 4210 · σ=10 · gaussian. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
For image AI or enhancement tools, run the model or filter on this file and diff against the clean or ground-truth companion in the same group when available. Keep seeds and documented damage parameters in your evaluation notes so regressions are attributable.
Run your enhancement model on the degraded input and diff against the clean ground-truth companion in the same group; keep the documented degradation parameters and seed in your eval notes so scores are reproducible.
Code examples
<img src="base-a-gaussian-10.png" alt="Example image" width="640" loading="lazy">Related files
- pngDenoise Base B — Clean Reference (512px)The clean reference image for denoise base B — a coffee mug on studio white. Diff the noisy variants in this set against this file to measure filter accuracy.
- pngGaussian Noise σ=10 — Base B (512px)Base B with additive Gaussian noise at σ=10 (seed 7710). Compare against the clean reference in this set to score a denoise filter.
- pngGaussian Noise σ=25 — Base B (512px)Base B with additive Gaussian noise at σ=25 (seed 7725). Compare against the clean reference in this set to score a denoise filter.
- pngGaussian Noise σ=50 — Base B (512px)Base B with additive Gaussian noise at σ=50 (seed 7750). Compare against the clean reference in this set to score a denoise filter.
- pngSalt & Pepper 10% — Base B (512px)Base B with 10% salt-and-pepper noise (seed 77010). A direct fixture for testing median and morphological denoisers against the clean reference.
- pngSalt & Pepper 2% — Base B (512px)Base B with 2% salt-and-pepper noise (seed 77002). A direct fixture for testing median and morphological denoisers against the clean reference.
Generated by generation/images_noise.py. Free for any use, no attribution required — license.