Deblur Base B — Clean (512px)
Clean reference for deblur base B. Compare deblurred outputs of the blurred variants in this group against this file.
Specifications
- Width
- 512
- Height
- 512
- Role
- clean reference
- Seed
- 602
- Suite
- deblur
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
“Deblur Base B — Clean (512px)” is a deterministic Novus Examples fixture for Deblur testing, Image pipeline QA. Clean references with gaussian, motion, and camera-shake blurred variants — documented blur type and strength — for measuring deblur and sharpening accuracy with PSNR/SSIM against ground truth.
Documented properties for this file: 512×512 · seed 602 · clean reference. 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-b-clean.png" alt="Example image" width="640" loading="lazy">Related files
- pngDeblur Base A — Clean (512px)Clean reference for deblur base A. Compare deblurred outputs of the blurred variants in this group against this file.
- pngDeblur Gauss 3 — Base A (512px)Base A with gauss-3 blur. Score a deblur tool against the clean reference in this group.
- pngDeblur Gauss 6 — Base A (512px)Base A with gauss-6 blur. Score a deblur tool against the clean reference in this group.
- pngDeblur Motion Diag — Base A (512px)Base A with motion-diag blur. Score a deblur tool against the clean reference in this group.
- pngDeblur Motion H — Base A (512px)Base A with motion-h blur. Score a deblur tool against the clean reference in this group.
- pngDeblur Motion V — Base A (512px)Base A with motion-v blur. Score a deblur tool against the clean reference in this group.
Generated by generation/images_deblur.py. Free for any use, no attribution required — license.