Legacy ImageMagick Discussions Archive

I can try the -quiet, the only issue I have with that is it still freaks me out... wish I knew what the warnings meant... it looks like all my EXIF has been stripped from the images somehow, that's kind of lame. How do I upgrade "JPEG" ? I apt installed libjpeg9 and it still says 80... dcraw ...

I can't use the "magick" command as in windows. only "convert"

Linux systems patch old version. Your version by number is old, but has been patched most recently in July 2017. So is likely current. But since I do not know what the latest patch is, I cannot say. Furthermore I dislike the process of patching, since patches can be bad or missed. Thus it is hard ...

6.8.9.9 is over 100 versions old. You might consider upgrading IM also. However, it looks to be patched at July 2017. So it may be OK. Though you could check to see if there is a more current patch. My guess is it is your version of dcraw. shouldn't the version from APT be the most current version ...

I ran your cr2 image with your command on my IM 6.9.9.23 Q16 Mac OSX and got no red speckle distortion and you show in your output. convert cr2:"_MG_9449.CR2" -resize 75% test1.jpg Also what version of dcraw and libjpeg? I am using dcraw @9.27.0_2 jpeg @9b_0 Perhaps you need to upgrade one or both ...

sorry about the confusion. If the image is JPG I run the JPG command on them - and if the image is RAW I run the RAW command on them. never both commands. ======================================================================= here is the exact command I ran on this RAW image: convert cr2:/media ...

Hi, thanks for the reply. The version I am using is whatever is latest from apt-get on ubuntu server. I ran a apt-get update right before downloading, and this was yesterday, so unless something has changed since yesterday, I have the latest version from APT What I am doing is two seperate things. 1 ...

I am trying to scale down some of my images, but they end up with an ugly red and blue shadow after re-sampling (changing the ratio of pixel number)

https://imgur.com/a/k1SU4

example above

(edited for clarity)