ms_ssim — IMGMETRICS `fidelity` op

• Data kinds: image2d × image2d → scalar

• Call: import imgmetrics; imgmetrics.ms_ssim(a, b, data_range=None, win_size=11, sigma=1.5, K1=0.01, K2=0.03, weights=(0.0448, 0.2856, 0.3001, 0.2363, 0.1333), crop_border=True) (or opsimgmetrics.get("ms_ssim"))

Usage

Multi-scale SSIM (Wang, Simoncelli & Bovik, Asilomar Conf. 2003).

> The detailed description below is the original text — the summary and the headings are translated.

5 段の縮小を経るので、最終段で 11 画素の窓が成立するには各辺 176 画素が

要る。足りないときに段数を黙って減らさない ―― 段数の違う MS-SSIM は

別の指標であり、比べると嘘になる。足りなければ `ValueError`。

2 次元のグレー画像専用(色は `channel_axis` ではなくチャネルごとに呼ぶ)。

Detailed usage guide

• image_difference_metrics family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• image_quality_metrics — py -3.11 examples/image_quality_metrics.py

Ops the type connects to (they accept `scalar` as input)

—

Same category (`fidelity`)

mse · rmse · psnr · ssim · ssim_map

*Provenance: imgmetrics.py — IMGMETRICS operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

ms_ssim — IMGMETRICS fidelity op