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- ppppnnnnmmmmccccoooonnnnvvvvoooollll((((1111)))) XXXXEEEENNNNIIIIXXXX SSSSyyyysssstttteeeemmmm VVVV ((((11113333 JJJJaaaannnnuuuuaaaarrrryyyy 1111999999991111)))) ppppnnnnmmmmccccoooonnnnvvvvoooollll((((1111))))
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- NNNNAAAAMMMMEEEE
- pnmconvol - general MxN convolution on a portable anymap
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- SSSSYYYYNNNNOOOOPPPPSSSSIIIISSSS
- ppppnnnnmmmmccccoooonnnnvvvvoooollll _c_o_n_v_o_l_u_t_i_o_n_f_i_l_e [_p_n_m_f_i_l_e]
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- DDDDEEEESSSSCCCCRRRRIIIIPPPPTTTTIIIIOOOONNNN
- Reads two portable anymaps as input. Convolves the second
- using the first, and writes a portable anymap as output.
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- Convolution means replacing each pixel with a weighted
- average of the nearby pixels. The weights and the area to
- average are determined by the convolution matrix. The
- unsigned numbers in the convolution file are offset by
- -maxval/2 to make signed numbers, and then normalized, so
- the actual values in the convolution file are only relative.
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- Here is a sample convolution file; it does a simple average
- of the nine immediate neighbors, resulting in a smoothed
- image:
- P2
- 3 3
- 18
- 10 10 10
- 10 10 10
- 10 10 10
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- To see how this works, do the above-mentioned offset: 10 -
- 18/2 gives 1. The possible range of values is from 0 to 18,
- and after the offset that's -9 to 9. The normalization step
- makes the range -1 to 1, and the values get scaled
- correspondingly so they become 1/9 - exactly what you want.
- The equivalent matrix for 5x5 smoothing would have maxval 50
- and be filled with 26.
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- The convolution file will usually be a graymap, so that the
- same convolution gets applied to each color component.
- However, if you want to use a pixmap and do a different
- convolution to different colors, you can certainly do that.
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- SSSSEEEEEEEE AAAALLLLSSSSOOOO
- pnmsmooth(1), pnm(5)
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- AAAAUUUUTTTTHHHHOOOORRRR
- Copyright (C) 1989, 1991 by Jef Poskanzer.
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- Page 1 (printed 9/7/93)
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