An interesting application of the 2D DFT to manga on color eink Kaleido 3 with math theory explained! Kobo Colour images.
Most of the slides are based on the DFT chapter in Digital Image Processing: A Practical Approach by Nick Efford. I learned DFT to understand this algorithm.
I got a similar deal; the phone was locked to tracfone (or one of the other verizon owned mvnos), no contract, just had to activate it and pay the first month's service. When the month was up, put it in a drawer. 60 days from activation, pull it from the drawer, connect to wifi, and it would unlock.
If anyone wants to learn about the 2D DFT, the best explanation I've ever read was the relevant chapter in Digital Image Processing by Nick Efford.
If anyone wants to see my favorite application of the 2D DFT, I made a video of how the DFT is used to remove rainbows in manga on Kaleido 3 color eink on Kobo Colour:
In the video you show a 2D mask to blur diagonal lines. How is that mask applied to the DFT? Is the mask also converted to a DFT and the two signals get combined?
Yes, the base spec is another AU$1000 more expensive than the normal Mac Pro, and 3.7x the cost of the base Mac Studio in my country (despite having a processor two generations older)! That’s exactly what I’m complaining about in my comment!
What I’m talking about should be in the realm of 1.5x the cost of the Mac Studio.
Yea, Safari 26.1 is really buggy for me on macOS 15. Google searching the issue, lots of my issues are fixed int he 26.2 beta, I had to download beta from apple developer website.
I once had to deal with an old website that ignored the orientation flag in jpg, so my iPhone portrait photos showed up landscape when I uploaded them.
Thankfully Finder in macOS has a way to remove the flag:
macOS has limited support for MTP.. native browsing of Android devices is very limited or broken. Using ADB is admittedly a workaround, but it provides broader device compatibility and control, especially on newer Android versions
Most of the slides are based on the DFT chapter in Digital Image Processing: A Practical Approach by Nick Efford. I learned DFT to understand this algorithm.
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