fixes SSE2/AddNoiseTest.CheckCvsAssembly/0 with -funsigned-char. visibly broken since:0dc69c7postproc : fix function parameters for noise functions. where the types diverged (char vs. int8) but likely the return changed in:2ca24b0postproc - move filling of noise buffer to vpx_dsp. when multiple implementations were merged. Change-Id: I176ca1f170217f05ba7872b0c4de63e41949e999
		
			
				
	
	
		
			72 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			72 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
/*
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 *  Copyright (c) 2015 The WebM project authors. All Rights Reserved.
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 *
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 *  Use of this source code is governed by a BSD-style license
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 *  that can be found in the LICENSE file in the root of the source
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 *  tree. An additional intellectual property rights grant can be found
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 *  in the file PATENTS.  All contributing project authors may
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 *  be found in the AUTHORS file in the root of the source tree.
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 */
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#include <math.h>
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#include <stdlib.h>
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#include "./vpx_config.h"
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#include "./vpx_dsp_rtcd.h"
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#include "vpx/vpx_integer.h"
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#include "vpx_ports/mem.h"
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void vpx_plane_add_noise_c(uint8_t *start, const int8_t *noise, int blackclamp,
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                           int whiteclamp, int width, int height, int pitch) {
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  int i, j;
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  int bothclamp = blackclamp + whiteclamp;
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  for (i = 0; i < height; ++i) {
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    uint8_t *pos = start + i * pitch;
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    const int8_t *ref = (const int8_t *)(noise + (rand() & 0xff));  // NOLINT
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    for (j = 0; j < width; ++j) {
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      int v = pos[j];
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      v = clamp(v - blackclamp, 0, 255);
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      v = clamp(v + bothclamp, 0, 255);
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      v = clamp(v - whiteclamp, 0, 255);
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      pos[j] = v + ref[j];
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    }
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  }
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}
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static double gaussian(double sigma, double mu, double x) {
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  return 1 / (sigma * sqrt(2.0 * 3.14159265)) *
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         (exp(-(x - mu) * (x - mu) / (2 * sigma * sigma)));
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}
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int vpx_setup_noise(double sigma, int8_t *noise, int size) {
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  int8_t char_dist[256];
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  int next = 0, i, j;
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  // set up a 256 entry lookup that matches gaussian distribution
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  for (i = -32; i < 32; ++i) {
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    const int a_i = (int)(0.5 + 256 * gaussian(sigma, 0, i));
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    if (a_i) {
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      for (j = 0; j < a_i; ++j) {
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        char_dist[next + j] = (int8_t)i;
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      }
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      next = next + j;
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    }
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  }
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  // Rounding error - might mean we have less than 256.
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  for (; next < 256; ++next) {
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    char_dist[next] = 0;
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  }
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  for (i = 0; i < size; ++i) {
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    noise[i] = char_dist[rand() & 0xff];  // NOLINT
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  }
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  // Returns the highest non 0 value used in distribution.
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  return -char_dist[0];
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}
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