IMFILL(1)
β¨ NAME β¨
imfill β AME π
okay so this is imfill, and fr fr its whole thing is filling in the bad pixels. that's it, that's the era. π
πΈ SYNOPSIS πΈ
[-v][-a dx[,dy]][-g dx[,dy]][-m dx[,dy]] file.fits ...
likeβ¦ you hand it one or more file.fits and some flags, and it does the thing. slay. β¨
π¦ DESCRIPTION π¦
Fill bad pixels in FITS and IRAF image files. no cap, that's the job β it goes in, finds the busted pixels, and patches them up so your data can be its best self. π
here's every single flag, bestie, and i'm not skipping a one of them:
-a dx dyβ Mean filter,dx x dypixels. average-coded behavior, very demure. πΈ-b numβ the bad pixel value. the default isBLANKor-9999, so if you don't say anything it just assumes that. π-f fileβ a FITS file that's all zeroes except at the bad pixels. it's giving "map of the damage". π-g dx x dyβ Gaussian filter,dx x dypixels. soft blur energy. π§-h halfwidthβ the Gaussian half-width at half-height. yes that's the whole description, i'm just the messenger. π«Ά-l numβ logging interval, in lines. tells it how often to check in like a good friend. π-m dx dyβ Median filter,dx x dypixels. the median is literally the main character of filters, i don't make the rules. β-oβ Allow overwriting of the input image. without this, it writes a new one instead, so likeβ¦ tread carefully bestie, that's your original file on the line. π-p num [num]β minimum[maximum]good pixel value. the bracket one is optional, the first one isn't. π-vβ Verbose. it will tell you everything it's doing, which is honestly iconic behavior. β¨
not me reminding you that -o overwrites your input image. it does. that's the whole point of the flag. it is not a vibe, it is a commitment. π
okay that's the whole page! this glow-up came to you from EB_SOURCE, dated February 2026, and honestly? she ate. periodt. πβ¨ππ¦
π¦ where this page comes from
- ubuntu resolute: wcstools 3.9.7-2build1 Β· GPL-2.0-only
- ubuntu stonking: wcstools 3.9.7-2build1 Β· GPL-2.0-only
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms