Upscale Input A — 256px + JPEG q35
256×256 bicubic downscale further JPEG-compressed at quality 35 — a harder super-resolution input with artefacts.
Specifications
- Width
- 256
- Height
- 256
- Role
- downscaled+compressed input
- Method
- bicubic+jpeg35
- Reference
- img-upscale-a-1024
- Suite
- upscale
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
“Upscale Input A — 256px + JPEG q35” is a deterministic Novus Examples fixture for Super-resolution, Compression testing. Large clean references with deliberately downscaled (and optionally JPEG-degraded) inputs for testing upscalers, super-resolution models, and enlarge-without-blur pipelines.
Documented properties for this file: 256×256 · downscaled+compressed input. 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-256-jpeg35.png" alt="Example image" width="640" loading="lazy">Related files
- pngUpscale Input B — 256px + JPEG q35256×256 bicubic downscale further JPEG-compressed at quality 35 — a harder super-resolution input with artefacts.
- pngUpscale Input B — 128px BicubicBicubic downscale to 128×128 from the 1024px reference. Use as a super-resolution input.
- pngUpscale Input B — 256px BicubicBicubic downscale to 256×256 from the 1024px reference. Use as a super-resolution input.
- pngUpscale Input B — 64px BicubicBicubic downscale to 64×64 from the 1024px reference. Use as a super-resolution input.
- pngUpscale Reference B — 1024pxClean 1024×1024 reference for super-resolution base B. Upscale the smaller inputs in this group toward this ground truth.
- jpgBaseline JPEGThe fruit still life as a baseline (sequential) JPEG — paired with a progressive JPEG of identical content for testing decode order and progressive-rendering support.
Generated by generation/images_upscale.py. Free for any use, no attribution required — license.