augmentation op• 資料種類:image → image
• 呼叫:fullseye.apply(img, "aug_jpeg_blocks", a=0.5, b=0.5)(2-D 的模型是一張圖 + 兩個純量旋鈕 a,b∈[0,1])
> 該運算子的說明尚無譯文,以下照原文給出。
JPEG blocking / ringing artefacts. The image (scaled to 0..255) is cut
into 8x8 blocks, each transformed with an orthonormal 2-D DCT-II
(`scipy.fft.dctn`), quantised with the STANDARD JPEG Annex-K luminance
table scaled by `(1 + 40*a)/16` (a=0 -> near-lossless, a=1 -> heavy
quantisation), then reconstructed with the inverse DCT. `b` shifts the 8x8
block grid phase by `int(7*b)` px in both axes, i.e. moves where the block
seams fall. Images that are not a multiple of 8 are edge-replicate padded and
cropped back to HxW (so 4x4 inputs are handled).
• gallery2d_color_artistic 族使用指南
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• 演算法的正典(作者・年份)與用途見上面的族使用指南。
• gallery2d_color_artistic — py -3.11 examples/gallery2d_color_artistic.py
• sim2real_and_alife — py -3.11 examples/sim2real_and_alife.py
image 作為輸入)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
augmentation)aug_shot_noise · aug_read_noise · aug_fixed_pattern · aug_motion_blur · aug_vignette · aug_chromatic · aug_rolling_shutter · aug_cutout
*Provenance: ops.py — 2D 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.