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NEUQUANT.H
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NEUQUANT.H
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/* NeuQuant Neural-Net Quantization Algorithm Interface
* ----------------------------------------------------
*
* Copyright (c) 1994 Anthony Dekker
*
* NEUQUANT Neural-Net quantization algorithm by Anthony Dekker, 1994.
* See "Kohonen neural networks for optimal colour quantization"
* in "Network: Computation in Neural Systems" Vol. 5 (1994) pp 351-367.
* for a discussion of the algorithm.
* See also http://members.ozemail.com.au/~dekker/NEUQUANT.HTML
*
* Any party obtaining a copy of these files from the author, directly or
* indirectly, is granted, free of charge, a full and unrestricted irrevocable,
* world-wide, paid up, royalty-free, nonexclusive right and license to deal
* in this software and documentation files (the "Software"), including without
* limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons who receive
* copies from any such party to do so, with the only requirement being
* that this copyright notice remain intact.
*/
#include <stdio.h>
#define maxnetsize 256 /* number of colours used */
/* For 256 colours, fixed arrays need 8kb, plus space for the image
---------------------------------------------------------------- */
/* four primes near 500 - assume no image has a length so large */
/* that it is divisible by all four primes */
#define prime1 499
#define prime2 491
#define prime3 487
#define prime4 503
#define minpicturebytes (3*prime4) /* minimum size for input image */
/* Program Skeleton
----------------
[select samplefac in range 1..30]
pic = (unsigned char*) malloc(3*width*height);
[read image from input file into pic]
initnet(pic,3*width*height,samplefac);
learn();
unbiasnet();
[write output image header, using writecolourmap(f),
possibly editing the loops in that function]
inxbuild();
[write output image using inxsearch(b,g,r)] */
void NEU_wrapper(uint32_t w,uint32_t h,uint8_t * img_in,uint16_t colors_amount,uint8_t user_pal[3][256]);