📄 dmc.cpp
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/* Dynamic Markov Compression (DMC) Version 0.0.0
Copyright 1993, 1987
Gordon V. Cormack
University of Waterloo
cormack@uwaterloo.ca
All rights reserved.
This code and the algorithms herein are the property of Gordon V. Cormack.
Neither the code nor any algorithm herein may be included in any software,
device, or process which is sold, exchanged for profit, or for which a
licence or royalty fee is charged.
Permission is granted to use this code for educational, research, or
commercial purposes, provided this notice is included, and provided this
code is not used as described in the above paragraph.
*/
/* This program implements DMC as described in
"Data Compression using Dynamic Markov Modelling",
by Gordon Cormack and Nigel Horspool
in Computer Journal 30:6 (December 1987)
It uses floating point so it isn't fast. Converting to fixed point
isn't too difficult.
comp() and exp() implement Guazzo's version of arithmetic coding.
pinit(), predict(), and pupdate() are the DMC predictor.
pflush() reinitializes the DMC table and reclaims space
preset() starts the DMC predictor at its start state, but doesn't
reinitialize the tables. This is used for packetized
communications, but not here.
*/
/* JC [06/01/2000] Converted to ANSI C++, fixed up for ComprLib */
#include <stdio.h>
#include "codec.h"
static float predict();
static int pinit(int);
static int pupdate(int);
static int pflush();
static int preset();
int memsize = 0x1000000;
int encode_dmc(){ /* compression -- was comp() */
int max = 0x1000000,
min = 0,
mid,
c,i,
inbytes = 0,
outbytes =3,
pout = 3,
bit;
pinit(memsize);
for(;;){
c = read_byte();
/* if (c == EOF) { */
if (end_of_data()) {
min = max-1;
break;
}
for (i=0;i<8;i++){
bit = (c << i) & 0x80;
mid = (int)(min + (max-min-1) * predict());
pupdate(bit != 0);
if (mid == min) mid++;
if (mid == (max-1)) mid--;
if (bit) {
min = mid;
} else {
max = mid;
}
while ((max-min) < 256) {
if(bit)max--;
write_byte(min >> 16);
outbytes++;
min = (min << 8) & 0xffff00;
max = ((max << 8) & 0xffff00 ) ;
if (min >= max) max = 0x1000000;
}
}
if(!(++inbytes & 0xff)){
if(!(inbytes & 0xffff)){
}
if (outbytes - pout > 256) { /* compression failing */
pflush();
}
pout = outbytes;
}
}
write_byte(min>>16);
write_byte((min>>8) & 0xff);
write_byte(min & 0x00ff);
return 0;
}
int decode_dmc(){ /* expand -- was exp() */
int max = 0x1000000,
min = 0,
mid,
val,
i,
inbytes=3,
pin=3,
outbytes=0,
bit,
c;
pinit(memsize);
val = read_byte()<<16;
val += read_byte()<<8;
val += read_byte();
while(1) {
c = 0;
if (val == (max-1)) {
break;
}
for (i=0;i<8;i++){
mid = (int)(min + (max-min-1)*predict());
if (mid == min) mid++;
if (mid == (max-1)) mid--;
if (val >= mid) {
bit = 1;
min = mid;
} else {
bit = 0;
max = mid;
}
pupdate(bit != 0);
c = c + c + bit;
while ((max-min) < 256) {
if(bit)max--;
inbytes++;
val = (val << 8) & 0xffff00 | (read_byte()& 0xff);
min = (min << 8) & 0xffff00;
max = ((max << 8) & 0xffff00 ) ;
if (min >= max) max = 0x1000000;
}
}
write_byte(c);
if(!(++outbytes & 0xff)){
if (inbytes - pin > 256) { /* compression was failing */
pflush();
}
pin = inbytes;
}
}
return 0;
}
typedef struct nnn {
float count[2];
struct nnn *next[2];
} node;
static int threshold = 2, bigthresh = 2;
static node *p, *newn, nodes[256][256];
static node *nodebuf;
static node *nodemaxp;
static node *nodesptr;
#include <malloc.h>
int pinit(int memsize)
{
nodebuf = (node *) malloc (memsize);
if (nodebuf == (node *) NULL) {
exit(1);
}
nodemaxp = nodebuf + (memsize/sizeof(node)) - 20;
pflush();
return 0;
}
int pflush(){
int i,j;
for (j=0;j<256;j++){
for (i=0;i<127;i++) {
nodes[j][i].count[0] = 0.2;
nodes[j][i].count[1] = 0.2;
nodes[j][i].next[0] = &nodes[j][2*i + 1];
nodes[j][i].next[1] = &nodes[j][2*i + 2];
}
for (i=127;i<255;i++) {
nodes[j][i].count[0] = 0.2;
nodes[j][i].count[1] = 0.2;
nodes[j][i].next[0] = &nodes[i+1][0];
nodes[j][i].next[1] = &nodes[i-127][0];
}
}
nodesptr = nodebuf;
preset();
return 0;
}
int preset(){
p = &nodes[0][0];
return 0;
}
float predict(){
return p->count[0] / (p->count[0] + p->count[1]);
}
int pupdate(int b)
{
float r;
if (p->count[b] >= threshold &&
p->next[b]->count[0]+p->next[b]->count[1]
>= bigthresh + p->count[b]){
newn = nodesptr++;
p->next[b]->count[0] -= newn->count[0] =
p->next[b]->count[0] *
(r = p->count[b]/(p->next[b]->count[1]+p->next[b]->count[0]));
p->next[b]->count[1] -= newn->count[1] =
p->next[b]->count[1] * r;
newn->next[0] = p->next[b]->next[0];
newn->next[1] = p->next[b]->next[1];
p->next[b] = newn;
}
p->count[b]++;
p = p->next[b];
if (nodesptr > nodemaxp){
pflush();
}
return 0;
}
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