I’ve had some email on the antialiasing posts. One person quotes me from Antialiasing, part 2 as follows: The good news is that increasing the area of the sensor receptors reduces aliasing, and does it fairly efficiently. William Pratt, in his book Digital Image Processing, 2nd Edition, on pages 110 and 111, compares a square receptor… [Read More]
Antialiasing, part 4
Antialiasing the future It’s pretty clear to me that the biggest aliasing problems today are caused by the Bayer pattern and similar methods that construct a color sensor by detecting different spectra at different places on the chip. One way to make a big improvement would be to get all the RGB photosensitive regions that… [Read More]
Antialiasing, part 4: the future
Antialiasing the future It’s pretty clear to me that the biggest aliasing problems today are caused by the Bayer pattern and similar methods that construct a color sensor by detecting different spectra at different places on the chip. One way to make a big improvement would be to get all the RGB photosensitive regions that… [Read More]
Antialiasing, part 3
Sunlit wet asphalt aside, most pictures I make with cameras lacking antialiasing filters look just fine with no special post processing. That doesn’t mean that there’s no aliasing going on; it just means that the artifacts thus produced look fairly realistic and aren’t objectionable. There are two eminently defensible but mutually exclusive perspectives on whether… [Read More]
Antialiasing, part 2
In the previous post, I talked about sampling, aliasing, and antialiasing in the context of sampling a time-varying continuous signal. In this post, I’d like to carry out a similar discussion for the case of instantaneous two-dimensional continuous spatial signals, such as images produced by a lens, sampled by idealized and actual image capture chips…. [Read More]
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