Skip to content
Novus Examples
jpg2.2 KB

Codec Ladder — Blocks Q50 (288px)

Same blocks scene encoded as q50 — rung on the Wave E codec ladder for quality / convert comparisons.

Preview of Codec Ladder — Blocks Q50 (288px)

Specifications

Width
288
Height
288
Role
q50
Scene
blocks
Seed
1603
Jpeg Quality
50

What is a .jpg file?

JPG is the common extension for JPEG, a lossy raster format that uses discrete cosine transform compression tuned for photographic images. It is 8-bit truecolor with no alpha channel, and quality is traded against file size via a compression factor. It is ubiquitous for photos on the web and from cameras.

How to use this file

Use an example JPG to test decoders, EXIF/metadata parsers, re-encoding quality, and orientation handling, or to confirm converters and image pipelines process baseline and progressive scans correctly.

How to use this file for testing

“Codec Ladder — Blocks Q50 (288px)” is a deterministic Novus Examples fixture for Conversion testing, Computer vision. The same content exported across many formats and linked as a group, so you can convert one and diff against the expected twin.

Documented properties for this file: 288×288 · seed 1603 · q50 · JPEG q50. 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.

Code examples

<img src="blocks-q50.jpg" alt="Example image" width="640" loading="lazy">

Generated by generation/images_wave_e.py. Free for any use, no attribution required — license.