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> Your 1D example seemed to be about the image boundaries rather than the
> image being represented by real/complex numbers. The point about the
> image boundaries is true, and will prevent an exact deconvolution as you
> pointed out. You can still often get a good approximate solution by
> either assuming boundary conditions or by using an image prior. I
> believe the latter is these is what's generally used in practice for
> image deblurring.
The example I was referring to was this one:
Convolution kernel: {1,2,1}
Source image: {a,b,c,d,e,f,g,h}
Result: {12,12,12,12,12,12,12,12}
What is the source image?
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