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tiff1.3 KB

Linear 16-bit Highlight Clip TIFF

A 16-bit TIFF biased into the upper code values (near clip) — for highlight-rolloff and tone-map tests on linear data.

Preview of Linear 16-bit Highlight Clip TIFF

Specifications

Width
256
Height
256
Bit Depth
16
Role
near-clip highlights
Note
not PQ/HDR10

What is a .tiff file?

TIFF (Tagged Image File Format) is a flexible container that stores one or more raster images with a rich tag-based header describing layout, compression, and color. It supports uncompressed, LZW, and other codecs, high bit depths, multiple pages, and CMYK, making it common in publishing, scanning, and archival workflows. Its flexibility means reader support varies.

How to use this file

Use an example TIFF to test multi-page and high-bit-depth handling, tag parsing, and document-imaging or archival pipelines that must read varied compression and color models.

How to use this file for testing

“Linear 16-bit Highlight Clip TIFF” is a deterministic Novus Examples fixture for Linear 16-bit / HDR-ish, Image pipeline QA. 16-bit linear TIFF ramps and twins (not PQ/HDR10 display masters) for deep-colour loaders, truncation, and tone-map pipelines.

Documented properties for this file: 256×256 · near-clip highlights · 16-bit. 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="linear-16bit-highlight-clip.tiff" alt="Example image" width="640" loading="lazy">

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