about summary refs log tree commit diff
path: root/converter/other/fiasco/codec/prediction.c
diff options
context:
space:
mode:
authorgiraffedata <giraffedata@9d0c8265-081b-0410-96cb-a4ca84ce46f8>2006-08-19 03:12:28 +0000
committergiraffedata <giraffedata@9d0c8265-081b-0410-96cb-a4ca84ce46f8>2006-08-19 03:12:28 +0000
commit1fd361a1ea06e44286c213ca1f814f49306fdc43 (patch)
tree64c8c96cf54d8718847339a403e5e67b922e8c3f /converter/other/fiasco/codec/prediction.c
downloadnetpbm-mirror-1fd361a1ea06e44286c213ca1f814f49306fdc43.tar.gz
netpbm-mirror-1fd361a1ea06e44286c213ca1f814f49306fdc43.tar.xz
netpbm-mirror-1fd361a1ea06e44286c213ca1f814f49306fdc43.zip
Create Subversion repository
git-svn-id: http://svn.code.sf.net/p/netpbm/code/trunk@1 9d0c8265-081b-0410-96cb-a4ca84ce46f8
Diffstat (limited to 'converter/other/fiasco/codec/prediction.c')
-rw-r--r--converter/other/fiasco/codec/prediction.c629
1 files changed, 629 insertions, 0 deletions
diff --git a/converter/other/fiasco/codec/prediction.c b/converter/other/fiasco/codec/prediction.c
new file mode 100644
index 00000000..351ba9df
--- /dev/null
+++ b/converter/other/fiasco/codec/prediction.c
@@ -0,0 +1,629 @@
+/*
+ *  prediction.c:	Range image prediction with MC or ND	
+ *
+ *  Written by:		Ullrich Hafner
+ *			Michael Unger
+ *		
+ *  This file is part of FIASCO («F»ractal «I»mage «A»nd «S»equence «CO»dec)
+ *  Copyright (C) 1994-2000 Ullrich Hafner <hafner@bigfoot.de>
+ */
+
+/*
+ *  $Date: 2000/06/14 20:50:51 $
+ *  $Author: hafner $
+ *  $Revision: 5.1 $
+ *  $State: Exp $
+ */
+
+#include "config.h"
+
+#if HAVE_STRING_H
+#	include <string.h>
+#else /* not HAVE_STRING_H */
+#	include <strings.h>
+#endif /* not HAVE_STRING_H */
+
+#include "types.h"
+#include "macros.h"
+#include "error.h"
+
+#include "cwfa.h"
+#include "ip.h"
+#include "control.h"
+#include "misc.h"
+#include "subdivide.h"
+#include "bintree.h"
+#include "domain-pool.h"
+#include "approx.h"
+#include "wfalib.h"
+#include "mwfa.h"
+#include "prediction.h"
+
+#include "decoder.h"
+
+
+/*****************************************************************************
+
+			     local variables
+  
+*****************************************************************************/
+
+typedef struct state_data
+{
+   real_t final_distribution;
+   byte_t level_of_state;
+   byte_t domain_type;
+
+   real_t *images_of_state;
+   real_t *inner_products;
+   real_t *ip_states_state [MAXLEVEL];
+
+   word_t tree [MAXLABELS];
+   mv_t	  mv_tree [MAXLABELS];
+   word_t y_state [MAXLABELS];
+   byte_t y_column [MAXLABELS];
+   byte_t prediction [MAXLABELS];
+
+   u_word_t x [MAXLABELS];
+   u_word_t y [MAXLABELS];
+
+   real_t weight [MAXLABELS][MAXEDGES + 1];
+   word_t int_weight [MAXLABELS][MAXEDGES + 1];
+   word_t into [MAXLABELS][MAXEDGES + 1];
+} state_data_t;
+
+/*****************************************************************************
+
+				prototypes
+  
+*****************************************************************************/
+
+static real_t
+nd_prediction (real_t max_costs, real_t price, unsigned band, int y_state,
+	       range_t *range, wfa_t *wfa, coding_t *c);
+static real_t
+mc_prediction (real_t max_costs, real_t price, unsigned band, int y_state,
+	       range_t *range, wfa_t *wfa, coding_t *c);
+static state_data_t *
+store_state_data (unsigned from, unsigned to, unsigned max_level,
+		  wfa_t *wfa, coding_t *c);
+static void
+restore_state_data (unsigned from, unsigned to, unsigned max_level,
+		    state_data_t *data, wfa_t *wfa, coding_t *c);
+
+/*****************************************************************************
+
+				public code
+  
+*****************************************************************************/
+ 
+real_t
+predict_range (real_t max_costs, real_t price, range_t *range, wfa_t *wfa,
+	       coding_t *c, unsigned band, int y_state, unsigned states,
+	       const tree_t *tree_model, const tree_t *p_tree_model,
+	       const void *domain_model, const void *d_domain_model,
+	       const void *coeff_model, const void *d_coeff_model)
+{
+   unsigned	 state;		     	/* counter */
+   void		*rec_domain_model;   	/* domain model after recursion */
+   void		*rec_d_domain_model; 	/* p domain model after recursion */
+   void		*rec_coeff_model;    	/* coeff model after recursion */
+   void		*rec_d_coeff_model;  	/* d coeff model after recursion */
+   tree_t	 rec_tree_model;	/* tree_model after '' */
+   tree_t	 rec_p_tree_model;    	/* p_tree_model after '' */
+   unsigned	 rec_states;	     	/* wfa->states after '' */
+   real_t	*rec_pixels;	     	/* c->pixels after '' */
+   state_data_t	*rec_state_data;     	/* state_data struct after '' */
+   real_t	 costs;		     	/* current approximation costs */
+   unsigned	 level;		     	/* counter */
+   state_data_t	*sd;		     	/* pointer to state_data field */
+
+   /*
+    *  Store WFA data from state 'lc_states' to 'wfa->states' - 1 and
+    *  current state of probability models.
+    */
+   rec_domain_model   = c->domain_pool->model;
+   rec_d_domain_model = c->d_domain_pool->model;
+   rec_coeff_model    = c->coeff->model;
+   rec_d_coeff_model  = c->d_coeff->model;
+   rec_tree_model     = c->tree;
+   rec_p_tree_model   = c->p_tree;
+   rec_states         = wfa->states;	
+   rec_pixels         = c->pixels;
+   rec_state_data     = store_state_data (states, rec_states - 1,
+					  c->options.lc_max_level, wfa, c);
+   
+   /*
+    *  Restore probability models to the state before the recursive subdivision
+    *  has been started.
+    */
+   wfa->states             = states;
+   c->tree                 = *tree_model;
+   c->p_tree               = *p_tree_model;
+   c->domain_pool->model   = c->domain_pool->model_duplicate (domain_model);
+   c->d_domain_pool->model = c->d_domain_pool->model_duplicate (d_domain_model);
+   c->coeff->model   	   = c->coeff->model_duplicate (c->coeff, coeff_model);
+   c->d_coeff->model   	   = c->d_coeff->model_duplicate (c->d_coeff,
+							  d_coeff_model);
+   
+   if (c->mt->frame_type == I_FRAME)
+      costs = nd_prediction (max_costs, price, band, y_state, range, wfa, c); 
+   else
+      costs = mc_prediction (max_costs, price, band, y_state, range, wfa, c);
+   
+   c->pixels = rec_pixels;
+   
+   if (costs < MAXCOSTS)
+   {
+      /*
+       *  Free the memory used by the state_data struct
+       */
+      for (state = states; state < rec_states; state++)
+      {
+	 sd = &rec_state_data [state - states];
+	 for (level = c->options.images_level + 1;
+	      level <= c->options.lc_max_level; level++)
+	    if (sd->ip_states_state [level] != NULL)
+	       Free (sd->ip_states_state [level]);
+	 if (sd->images_of_state != NULL)
+	    Free (sd->images_of_state);
+	 if (sd->inner_products != NULL)
+	    Free (sd->inner_products);
+      }
+      if (states < rec_states)
+	 Free (rec_state_data);
+      c->domain_pool->model_free (rec_domain_model);
+      c->d_domain_pool->model_free (rec_d_domain_model);
+      c->coeff->model_free (rec_coeff_model);
+      c->d_coeff->model_free (rec_d_coeff_model);
+
+      costs = (range->tree_bits + range->matrix_bits + range->weights_bits
+	       + range->mv_tree_bits + range->mv_coord_bits
+	       + range->nd_tree_bits + range->nd_weights_bits) * price
+	      + range->err;
+   }
+   else
+   {
+      /*
+       *  Restore WFA to state before function was called
+       */
+      c->domain_pool->model_free (c->domain_pool->model);
+      c->d_domain_pool->model_free (c->d_domain_pool->model);
+      c->coeff->model_free (c->coeff->model);
+      c->d_coeff->model_free (c->d_coeff->model);
+      
+      c->domain_pool->model   = rec_domain_model;
+      c->d_domain_pool->model = rec_d_domain_model;
+      c->coeff->model         = rec_coeff_model;
+      c->d_coeff->model       = rec_d_coeff_model;
+      c->tree                 = rec_tree_model;
+      c->p_tree               = rec_p_tree_model;
+      
+      range->prediction = NO;
+      
+      if (wfa->states != states)
+	 remove_states (states, wfa);
+      restore_state_data (states, rec_states - 1, c->options.lc_max_level,
+			  rec_state_data, wfa, c);
+      costs = MAXCOSTS;
+   }
+ 
+   return costs;
+} 
+
+void
+clear_norms_table (unsigned level, const wfa_info_t *wi, motion_t *mt)
+/*
+ *  Clear norms arrays.
+ *
+ *  No return value.
+ */
+{
+   unsigned  range_size = wi->half_pixel
+			  ? square (wi->search_range)
+			  : square (2 * wi->search_range);
+
+   if (level > wi->p_min_level)
+   {
+      memset (mt->mc_forward_norms [level], 0, range_size * sizeof(real_t));
+      memset (mt->mc_backward_norms [level], 0, range_size * sizeof(real_t));
+   }
+}
+
+void
+update_norms_table (unsigned level, const wfa_info_t *wi, motion_t *mt)
+/*
+ *  Norms table of levels larger than the bottom level are computed
+ *  by summing up previously calculated displacement costs of lower levels.
+ *
+ *  No return value.
+ */
+{
+   unsigned  range_size = wi->half_pixel
+			  ? square (wi->search_range)
+			  : square (2 * wi->search_range);
+   
+   if (level > wi->p_min_level)
+   {
+      unsigned index;			/* index of motion vector */
+      
+      for (index = 0; index < range_size; index++)
+	 mt->mc_forward_norms [level][index]
+	    += mt->mc_forward_norms [level - 1][index];
+      if (mt->frame_type == B_FRAME)
+	 for (index = 0; index < range_size; index++)
+	    mt->mc_backward_norms [level][index]
+	       += mt->mc_backward_norms [level - 1][index];
+   }
+}
+
+/*****************************************************************************
+
+				private code
+  
+*****************************************************************************/
+
+static real_t
+mc_prediction (real_t max_costs, real_t price, unsigned band, int y_state,
+	       range_t *range, wfa_t *wfa, coding_t *c)
+{
+   real_t    costs;		   	/* current approximation costs */
+   range_t   prange = *range;
+   unsigned  width  = width_of_level (range->level);
+   unsigned  height = height_of_level (range->level);
+   word_t   *mcpe   = Calloc (width * height, sizeof (word_t));
+
+   /*
+    *  If we are at the bottom level of the mc tree:
+    *  Fill in the norms table
+    */
+   if (prange.level == wfa->wfainfo->p_min_level) 
+      fill_norms_table (prange.x, prange.y, prange.level, wfa->wfainfo, c->mt);
+   /*
+    *  Predict 'range' with motion compensation according to frame type.
+    *  MCPE is returned in 'c->mcpe'
+    */
+   if (c->mt->frame_type == P_FRAME)
+      find_P_frame_mc (mcpe, price, &prange, wfa->wfainfo, c->mt);
+   else
+      find_B_frame_mc (mcpe, price, &prange, wfa->wfainfo, c->mt);
+   
+   costs = (prange.mv_tree_bits + prange.mv_coord_bits) * price;
+   
+   if (costs < max_costs)		/* motion vector not too expensive */
+   {
+      unsigned  last_state;		/* last WFA state before recursion */
+      real_t   *ipi [MAXSTATES];	/* inner products pointers */
+      unsigned  state;
+      real_t  	mvt, mvc;
+      
+      c->pixels = Calloc (width * height, sizeof (real_t));
+      cut_to_bintree (c->pixels, mcpe, width, height, 0, 0, width, height);
+   
+      /*
+       *  Approximate MCPE recursively.
+       */
+      last_state = wfa->states - 1;
+      for (state = 0; state <= last_state; state++)
+	 if (need_image (state, wfa))
+	 {
+	    ipi [state] = c->ip_images_state[state];
+	    c->ip_images_state[state]
+	       = Calloc (size_of_tree (c->products_level), sizeof (real_t));
+	 }
+
+      mvc = prange.mv_coord_bits;
+      mvt = prange.mv_tree_bits;
+      
+      prange.image           = 0;
+      prange.address         = 0;
+      prange.tree_bits       = 0;
+      prange.matrix_bits     = 0;
+      prange.weights_bits    = 0;
+      prange.mv_coord_bits   = 0;
+      prange.mv_tree_bits    = 0;
+      prange.nd_weights_bits = 0;
+      prange.nd_tree_bits    = 0;
+
+      compute_ip_images_state (prange.image, prange.address, prange.level,
+			       1, 0, wfa, c);
+      costs += subdivide (max_costs - costs, band, y_state, &prange,
+			  wfa, c, NO, YES);
+
+      if (costs < max_costs)		/* use motion compensation */
+      {
+	 unsigned img, adr;		/* temp. values */
+	 
+	 img                  = range->image;
+	 adr                  = range->address;
+	 *range               = prange;
+	 range->image         = img;
+	 range->address       = adr;
+	 range->mv_coord_bits = mvc;
+	 range->mv_tree_bits  = mvt;
+	 range->prediction    = YES;
+
+	 for (state = last_state + 1; state < wfa->states; state++)
+	    if (need_image (state, wfa))
+	       memset (c->ip_images_state [state], 0,
+		       size_of_tree (c->products_level) * sizeof (real_t));
+
+	 costs = (range->tree_bits + range->matrix_bits + range->weights_bits
+		  + range->mv_tree_bits + range->mv_coord_bits
+		  + range->nd_tree_bits + range->nd_weights_bits) * price
+		 + range->err;
+      }
+      else
+	 costs = MAXCOSTS;
+
+      for (state = 0; state <= last_state; state++)
+	 if (need_image (state, wfa))
+	 {
+	    Free (c->ip_images_state[state]);
+	    c->ip_images_state[state] = ipi [state];
+	 }
+      Free (c->pixels);
+   }
+   else
+      costs = MAXCOSTS;
+   
+   Free (mcpe);
+
+   return costs;
+}
+
+static real_t
+nd_prediction (real_t max_costs, real_t price, unsigned band, int y_state,
+	       range_t *range, wfa_t *wfa, coding_t *c)
+{
+   real_t  costs;			/* current approximation costs */
+   range_t lrange = *range;
+   
+   /*
+    *  Predict 'range' with DC component approximation
+    */
+   {
+      real_t x = get_ip_image_state (range->image, range->address,
+				     range->level, 0, c);
+      real_t y = get_ip_state_state (0, 0, range->level, c);
+      real_t w = btor (rtob (x / y, c->coeff->dc_rpf), c->coeff->dc_rpf);
+      word_t s [2] = {0, -1};
+
+      lrange.into [0] 	     = 0;
+      lrange.into [1] 	     = NO_EDGE;
+      lrange.weight [0]      = w;
+      lrange.mv_coord_bits   = 0;
+      lrange.mv_tree_bits    = 0;
+      lrange.nd_tree_bits    = tree_bits (LEAF, lrange.level, &c->p_tree);
+      lrange.nd_weights_bits = 0;
+      lrange.tree_bits       = 0;
+      lrange.matrix_bits     = 0;
+      lrange.weights_bits    = c->coeff->bits (&w, s, range->level, c->coeff);
+   }
+   costs = price * (lrange.weights_bits + lrange.nd_tree_bits);
+   
+   /*
+    *  Recursive aproximation of difference image
+    */
+   if (costs < max_costs)		
+   {
+      unsigned  state;
+      range_t  	rrange;			/* range: recursive subdivision */
+      unsigned  last_state;		/* last WFA state before recursion */
+      real_t   *ipi [MAXSTATES];	/* inner products pointers */
+      unsigned 	width  = width_of_level (range->level);
+      unsigned  height = height_of_level (range->level);
+      real_t   *pixels;
+
+      /*
+       *  Generate difference image original - approximation
+       */
+      {
+	 unsigned  n;
+	 real_t *src, *dst;		/* pointers to image data */
+	 real_t w = - lrange.weight [0] * c->images_of_state [0][0];
+		     
+	 src = c->pixels + range->address * size_of_level (range->level); 
+	 dst = c->pixels = pixels = Calloc (width * height, sizeof (real_t));
+
+	 for (n = width * height; n; n--)
+	    *dst++ = *src++ + w;
+      }
+      
+      /*
+       *  Approximate difference recursively.
+       */
+      rrange                 = *range;
+      rrange.tree_bits       = 0;
+      rrange.matrix_bits     = 0;
+      rrange.weights_bits    = 0;
+      rrange.mv_coord_bits   = 0;
+      rrange.mv_tree_bits    = 0;
+      rrange.nd_tree_bits    = 0;
+      rrange.nd_weights_bits = 0;
+      rrange.image           = 0;
+      rrange.address         = 0;
+
+      last_state = wfa->states - 1;
+      for (state = 0; state <= last_state; state++)
+	 if (need_image (state, wfa))
+	 {
+	    ipi [state] = c->ip_images_state[state];
+	    c->ip_images_state[state]
+	       = Calloc (size_of_tree (c->products_level), sizeof (real_t));
+	 }
+      
+      compute_ip_images_state (rrange.image, rrange.address, rrange.level,
+			       1, 0, wfa, c);
+      
+      costs += subdivide (max_costs - costs, band, y_state, &rrange, wfa, c,
+			  NO, YES);
+      
+      Free (pixels);
+
+      if (costs < max_costs && ischild (rrange.tree)) /* use prediction */
+      {
+	 unsigned img, adr;
+	 unsigned edge;
+
+	 img                     = range->image;
+	 adr                     = range->address;
+	 *range                  = rrange;
+	 range->image            = img;
+	 range->address          = adr;
+	 range->nd_tree_bits    += lrange.nd_tree_bits;
+	 range->nd_weights_bits += lrange.weights_bits;
+	 
+	 for (edge = 0; isedge (lrange.into [edge]); edge++)
+	 {
+	    range->into [edge]   = lrange.into [edge];
+	    range->weight [edge] = lrange.weight [edge];
+	 }
+	 range->into [edge] = NO_EDGE;
+	 range->prediction  = edge;
+
+	 for (state = last_state + 1; state < wfa->states; state++)
+	    if (need_image (state, wfa))
+	       memset (c->ip_images_state [state], 0,
+		       size_of_tree (c->products_level) * sizeof (real_t));
+      }
+      else
+	 costs = MAXCOSTS;
+      
+      for (state = 0; state <= last_state; state++)
+	 if (need_image (state, wfa))
+	 {
+	    Free (c->ip_images_state [state]);
+	    c->ip_images_state [state] = ipi [state];
+	 }
+   }
+   else
+      costs = MAXCOSTS;
+
+   return costs;
+}
+
+static state_data_t *
+store_state_data (unsigned from, unsigned to, unsigned max_level,
+		  wfa_t *wfa, coding_t *c)
+/*
+ *  Save and remove all states starting from state 'from'.
+ *
+ *  Return value:
+ *	pointer to array of state_data structs
+ */
+{
+   state_data_t *data;			/* array of savestates */
+   state_data_t *sd;			/* pointer to current savestates */
+   unsigned	 state, label, level;
+
+   if (to < from)
+      return NULL;			/* nothing to do */
+   
+   data = Calloc (to - from + 1, sizeof (state_data_t));
+   
+   for (state = from; state <= to; state++)
+   {
+      sd = &data [state - from];
+
+      sd->final_distribution = wfa->final_distribution [state];
+      sd->level_of_state     = wfa->level_of_state [state];
+      sd->domain_type        = wfa->domain_type [state];
+      sd->images_of_state    = c->images_of_state [state];
+      sd->inner_products     = c->ip_images_state [state];
+      
+      wfa->domain_type [state]   = 0;
+      c->images_of_state [state] = NULL;
+      c->ip_images_state [state] = NULL;
+				   
+      for (label = 0; label < MAXLABELS; label++) 
+      {
+	 sd->tree [label]     	= wfa->tree [state][label];
+	 sd->y_state [label]  	= wfa->y_state [state][label];
+	 sd->y_column [label] 	= wfa->y_column [state][label];
+	 sd->mv_tree [label]  	= wfa->mv_tree [state][label];
+	 sd->x [label]        	= wfa->x [state][label];
+	 sd->y [label]        	= wfa->y [state][label];
+	 sd->prediction [label] = wfa->prediction [state][label];
+
+	 memcpy (sd->weight [label], wfa->weight [state][label], 
+		 sizeof (real_t) * (MAXEDGES + 1));
+	 memcpy (sd->int_weight [label], wfa->int_weight [state][label], 
+		 sizeof (word_t) * (MAXEDGES + 1));
+	 memcpy (sd->into [label], wfa->into [state][label], 
+		 sizeof (word_t) * (MAXEDGES + 1));
+
+	 wfa->into [state][label][0] = NO_EDGE;
+	 wfa->tree [state][label]    = RANGE;
+	 wfa->y_state [state][label] = RANGE;
+      }
+      for (level = c->options.images_level + 1; level <= max_level;
+	   level++)
+      {
+	 sd->ip_states_state [level]       = c->ip_states_state [state][level];
+	 c->ip_states_state [state][level] = NULL;
+      }
+   }
+
+   return data;
+}
+
+static void
+restore_state_data (unsigned from, unsigned to, unsigned max_level,
+		    state_data_t *data, wfa_t *wfa, coding_t *c)
+/*
+ *  Restore all state data starting from state 'from'.
+ *  
+ *  No return value.
+ */
+{
+   state_data_t *sd;			/* pointer to state_data item */
+   unsigned	 state, label, level;
+
+   if (to < from)
+      return;				/* nothing to do */
+   
+   for (state = from; state <= to; state++)
+   {
+      sd = &data [state - from];
+      
+      wfa->final_distribution [state] = sd->final_distribution;
+      wfa->level_of_state [state]     = sd->level_of_state;
+      wfa->domain_type [state]        = sd->domain_type;
+      
+      if (c->images_of_state [state] != NULL)
+	 Free (c->images_of_state [state]);
+      c->images_of_state [state] = sd->images_of_state;
+      if (c->ip_images_state [state] != NULL)
+	 Free (c->ip_images_state [state]);
+      c->ip_images_state [state] = sd->inner_products;
+
+      for (label = 0; label < MAXLABELS; label++)
+      {
+	 wfa->tree [state][label]     	= sd->tree [label];
+	 wfa->y_state [state][label]  	= sd->y_state [label];
+	 wfa->y_column [state][label] 	= sd->y_column [label];
+	 wfa->mv_tree [state][label]  	= sd->mv_tree [label];
+	 wfa->x [state][label]        	= sd->x [label];
+	 wfa->y [state][label]        	= sd->y [label];
+	 wfa->prediction [state][label] = sd->prediction [label];
+	 
+	 memcpy (wfa->weight [state][label], sd->weight [label], 
+		 sizeof(real_t) * (MAXEDGES + 1));
+	 memcpy (wfa->int_weight [state][label], sd->int_weight [label], 
+		 sizeof(word_t) * (MAXEDGES + 1));
+	 memcpy (wfa->into [state][label], sd->into [label],  
+		 sizeof(word_t) * (MAXEDGES + 1));
+      }	 
+      for (level = c->options.images_level + 1; level <= max_level;
+	   level++)
+      {
+	 if (c->ip_states_state [state][level] != NULL)
+	    Free (c->ip_states_state [state][level]);
+	 c->ip_states_state [state][level] = sd->ip_states_state [level];
+      }
+   }
+
+   Free (data);
+   wfa->states = to + 1;
+}