/external/ImageMagick/MagickCore/ |
H A D | accelerate-kernels-private.h | 744 noise, 747 noise = 0.0f; 754 noise=(pixel+QuantumRange*SigmaUniform*(alpha-0.5f)); 769 noise=pixel+sqrt(pixel)*SigmaGaussian*sigma+QuantumRange*TauGaussian*tau; 775 noise=0.0f; 778 noise=QuantumRange; 780 noise=pixel; 788 noise=(pixel-QuantumRange); 790 noise=(pixel+QuantumRange*SigmaLaplacian*log(2.0f*alpha)+ 796 noise [all...] |
H A D | fx.c | 249 % AddNoiseImage() adds random noise to the image. 262 % o noise_type: The type of noise: Uniform, Gaussian, Multiplicative, 300 Initialize noise image attributes. 322 Add noise in each row. 3694 const double pixel,const double noise) 3699 plasma=ClampToQuantum(pixel+noise*GetPseudoRandomValue(random_info)- 3700 noise/2.0); 5753 % WaveletDenoiseImage() removes noise from the image using a wavelet 5845 Initialize noise image attributes. 3693 PlasmaPixel(RandomInfo *random_info, const double pixel,const double noise) argument
|
H A D | gem.c | 1458 % GenerateDifferentialNoise() generates differentual noise. 1469 % o pixel: noise is relative to this pixel value. 1471 % o noise_type: the type of noise. 1473 % o attenuate: attenuate the noise. 1491 noise, 1500 noise=(double) (pixel+QuantumRange*SigmaUniform*(alpha-0.5)); 1515 noise=(double) (pixel+sqrt((double) pixel)*SigmaGaussian*sigma+ 1522 noise=0.0; 1525 noise=(double) QuantumRange; 1527 noise 1470 noise, local [all...] |
/external/ImageMagick/MagickWand/ |
H A D | convert.c | 185 "-blur geometry reduce image noise and reduce detail levels", 231 " reduce image noise and reduce detail levels", 239 "-kuwahara geometry edge preserving noise reduction filter", 261 "-noise geometry add or reduce noise in an image", 265 " add a noise pattern to the image with specific", 329 " removes noise from the image using a wavelet transform", 372 "-attenuate value lessen (or intensify) when adding noise to an image", 2253 if (LocaleCompare("noise",option+1) == 0) 2261 noise; 2259 noise; local [all...] |
H A D | mogrify.c | 2310 if (LocaleCompare("noise",option+1) == 0) 2324 noise; 2326 noise=(NoiseType) ParseCommandOption(MagickNoiseOptions, 2328 mogrify_image=AddNoiseImage(*image,noise,attenuate,exception); 3495 "-blur geometry reduce image noise and reduce detail levels", 3544 " reduce image noise and reduce detail levels", 3554 "-kuwahara geometry edge preserving noise reduction filter", 3577 "-noise geometry add or reduce noise in an image", 3581 " add a noise patter 2319 noise; local 5549 noise; local [all...] |
/external/ImageMagick/coders/ |
H A D | msl.c | 685 if (LocaleCompare((const char *) tag,"add-noise") == 0) local 691 noise; 694 Add noise image. 702 noise=UniformNoise; 732 if (LocaleCompare(keyword,"noise") == 0) 739 noise=(NoiseType) option; 755 noise_image=AddNoiseImage(msl_info->image[n],noise,1.0, 1386 Add noise image. 5077 if (LocaleCompare((const char *) tag,"reduce-noise") == 0) 5083 Reduce-noise imag [all...] |
/external/ImageMagick/www/api/ |
H A D | effect.php | 195 <p>DespeckleImage() reduces the speckle noise in an image while perserving the edges of the original image. A speckle removing filter uses a complementary hulling technique (raising pixels that are darker than their surrounding neighbors, then complementarily lowering pixels that are brighter than their surrounding neighbors) to reduce the speckle index of that image (reference Crimmins speckle removal).</p> 322 <p>KuwaharaImage() is an edge preserving noise reduction filter.</p>
|
H A D | fx.php | 59 <p>AddNoiseImage() adds random noise to the image.</p> 84 <dd> The type of noise: Uniform, Gaussian, Multiplicative, Impulse, Laplacian, or Poisson. </dd>
|
H A D | magick-image.php | 237 <p>MagickAddNoiseImage() adds random noise to the image.</p> 258 <dd> The type of noise: Uniform, Gaussian, Multiplicative, Impulse, Laplacian, or Poisson. </dd> 1482 <p>MagickDespeckleImage() reduces the speckle noise in an image while perserving the edges of the original image.</p> 5335 <p>the smoothing threshold eliminates noise in the second derivative of the histogram. As the value is increased, you can expect a smoother second derivative.</p>
|
H A D | segment.php | 85 <p>the smoothing threshold eliminates noise in the second derivative of the histogram. As the value is increased, you can expect a smoother second derivative.</p>
|
/external/aac/libFDK/include/ |
H A D | FDK_tools_rom.h | 231 noise, enumerator in enum:__anon321
|
/external/autotest/client/cros/audio/ |
H A D | audio_analysis_unittest.py | 13 """Uses the same seed to generate noise for each test.""" 93 noise = numpy.random.standard_normal(samples) * 0.005 96 coeff_2 * numpy.sin(freq_2 * 2.0 * numpy.pi * x)) + noise 101 # with coefficient 0.3, 0Hz is from Gaussian noise with coefficient 135 noise = numpy.random.standard_normal(samples) * noise_amplitude 137 results = audio_analysis.spectral_analysis(noise, rate) 172 """Add noise to the test signal.""" 174 noise = numpy.random.standard_normal(len(self.y)) * noise_amplitude 175 self.y = self.y + noise 245 """Sine wave signal with no noise o [all...] |
H A D | audio_quality_measurement.py | 21 # 1. Detect noise in (a) and (c). 27 # This module also estimates the equivalent noise level by teager operator. 38 # Hilbert transform and noise. 46 # sine wave. In most cases, if there is no sine wave(only noise), 61 # it will be considered as a noise artifact. 74 # amplitude 1 and standard noise with amplitude k, the average teager value is 75 # nearly linear to the noise level k. 76 # Given frequency f, we simulate a sine wave with default noise level and 78 # noise level of input signal by the average teager value of input signal. 106 # If the noise even [all...] |
H A D | audio_quality_measurement_unittest.py | 16 """Uses the same seed to generate noise for each test.""" 21 # Generates the standard sin wave with standard_noise portion of noise. 32 noise = standard_noise * numpy.random.standard_normal() 33 wave.append(float(amplitude) * (sine_wave + noise)) 43 noise = audio_quality_measurement.noise_level(amplitude, frequency, 47 self.assertTrue(abs(noise - standard_noise) < 0.01) 78 """Adds noise to the test signal.""" 81 noise = noise_amplitude * numpy.random.standard_normal() 82 self.y[index] += noise 147 """Sine wave signal with no noise o [all...] |
/external/dng_sdk/source/ |
H A D | dng_negative.cpp | 2967 // Baseline noise. 4428 const uint16 *noise = dng_dither::Get ().NoiseBuffer16 (); 4442 const uint16 *rPtr = &noise [(row & dng_dither::kRNGMask) * dng_dither::kRNGSize];
|
H A D | dng_negative.h | 71 /// \brief Noise model for photon and sensor read noise, assuming that they are 74 /// The noise model is N (x) = sqrt (scale*x + offset), where x represents a linear 76 /// noise). The parameters scale and offset are both sensor-dependent and 89 /// Create empty and invalid noise function. 100 /// Create noise function with the specified scale and offset. 112 /// Compute noise (standard deviation) at the specified average signal level 120 /// The scale (slope, gain) of the noise function. 127 /// The offset (square of the noise floor) of the noise function. 134 /// Set the scale (slope, gain) of the noise functio 1328 SetBaselineNoise(real64 noise) argument [all...] |
/external/icu/icu4c/source/tools/gensprep/ |
H A D | filterRFC3454.pl | 182 ($code, $noise) = split /;/ , $line; 190 ($code, $noise) = split /;/ , $line; 194 ($code, $noise) = split /;/ , $line;
|
/external/icu/icu4c/source/tools/tzcode/ |
H A D | zic.c | 198 static int noise; variable 694 noise = TRUE; 742 if (noise) 1108 if (noise && hh == HOURSPERDAY && mm == 0 && ss == 0) 1110 if (noise && (hh > HOURSPERDAY || 2299 if (noise) { 3048 if (noise) 3081 if (noise && cp - string < 3)
|
/external/kernel-headers/original/uapi/linux/ |
H A D | wireless.h | 713 __u8 noise; /* noise level (dBm) */ member in struct:iw_quality 980 /* Quality range (link, level, noise)
|
/external/libopus/silk/fixed/ |
H A D | main_FIX.h | 114 /* Compute noise shaping coefficients and initial gain values */ 251 /* Add noise to matrix diagonal */ 255 opus_int32 noise, /* I Noise to add */
|
H A D | regularize_correlations_FIX.c | 34 /* Add noise to matrix diagonal */ 38 opus_int32 noise, /* I Noise to add */ 44 matrix_ptr( &XX[ 0 ], i, i, D ) = silk_ADD32( matrix_ptr( &XX[ 0 ], i, i, D ), noise ); 46 xx[ 0 ] += noise; 35 silk_regularize_correlations_FIX( opus_int32 *XX, opus_int32 *xx, opus_int32 noise, opus_int D ) argument
|
/external/libopus/silk/float/ |
H A D | main_FLP.h | 101 /* Compute noise shaping coefficients and initial gain values */ 248 /* Add noise to matrix diagonal */ 252 const silk_float noise, /* I Noise energy to add */
|
H A D | regularize_correlations_FLP.c | 34 /* Add noise to matrix diagonal */ 38 const silk_float noise, /* I Noise energy to add */ 45 matrix_ptr( &XX[ 0 ], i, i, D ) += noise; 47 xx[ 0 ] += noise; 35 silk_regularize_correlations_FLP( silk_float *XX, silk_float *xx, const silk_float noise, const opus_int D ) argument
|
/external/libpng/contrib/libtests/ |
H A D | pngvalid.c | 1719 /* This is another Horowitz and Hill random noise generator. In this case 1727 static png_uint_32 noise = 2; local 1732 noise = (noise << 9) | ((noise ^ (noise >> (9-5))) & 0x1ff); 1733 cb = noise & 0x1ff; 3221 /* This is another Horowitz and Hill random noise generator. In this case 3229 static png_uint_32 noise = 1; local 3234 noise [all...] |
/external/libvorbis/doc/ |
H A D | 07-floor1.tex | 89 with modifications to the above algorithm to eliminate noise
|