| /external/skia/src/gpu/effects/ |
| GrRectBlurEffect.h | 23 float sigma) {
24 unsigned int profileSize = SkScalarCeilToInt(6 * sigma);
42 SkBlurMask::ComputeBlurProfile(bitmap.getAddr8(0, 0), profileSize, sigma);
64 float sigma() const { return fSigma; } function in class:GrRectBlurEffect
67 const SkRect& rect, float sigma) {
68 int doubleProfileSize = SkScalarCeilToInt(12 * sigma);
71 // if the blur sigma is too large so the gaussian overlaps the whole
76 sk_sp<GrTextureProxy> blurProfile(CreateBlurProfileTexture(proxyProvider, sigma));
82 rect, sigma, std::move(blurProfile),
90 GrRectBlurEffect(SkRect rect, float sigma, sk_sp<GrTextureProxy> blurProfile
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| /external/skqp/src/gpu/effects/ |
| GrRectBlurEffect.h | 23 float sigma) {
24 unsigned int profileSize = SkScalarCeilToInt(6 * sigma);
41 std::unique_ptr<uint8_t[]> profile(SkBlurMask::ComputeBlurProfile(sigma));
56 float sigma() const { return fSigma; } function in class:GrRectBlurEffect
59 const SkRect& rect, float sigma) {
60 int doubleProfileSize = SkScalarCeilToInt(12 * sigma);
63 // if the blur sigma is too large so the gaussian overlaps the whole
68 sk_sp<GrTextureProxy> blurProfile(CreateBlurProfileTexture(proxyProvider, sigma));
74 rect, sigma, std::move(blurProfile),
82 GrRectBlurEffect(SkRect rect, float sigma, sk_sp<GrTextureProxy> blurProfile
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| /packages/inputmethods/LatinIME/native/jni/src/suggest/core/layout/ |
| normal_distribution.h | 26 // Normal distribution N(u, sigma^2).
29 NormalDistribution(const float u, const float sigma)
32 * GeometryUtils::SQUARE_FLOAT(sigma))),
33 mPreComputedExponentPart(-1.0f / (2.0f * GeometryUtils::SQUARE_FLOAT(sigma))) {}
45 const float mPreComputedNonExpPart; // = 1 / sqrt(2 * PI * sigma^2)
46 const float mPreComputedExponentPart; // = -1 / (2 * sigma^2)
|
| /external/skia/tests/ |
| SkGaussFilterTest.cpp | 32 double sigma; SkGaussFilter::Type type; std::vector<double> golden;
33 std::tie(sigma, type, golden) = test;
34 SkGaussFilter filter{sigma, type};
51 // 0.788675 - most common mask sigma.
58 // 1.07735 - second most common mask sigma.
74 auto check = [&](double sigma, SkGaussFilter::Type type) {
75 SkGaussFilter filter{sigma, type};
88 for (double sigma = 0.0; sigma < 2.0; sigma += 0.1)
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| /external/skqp/tests/ |
| SkGaussFilterTest.cpp | 32 double sigma; SkGaussFilter::Type type; std::vector<double> golden;
33 std::tie(sigma, type, golden) = test;
34 SkGaussFilter filter{sigma, type};
51 // 0.788675 - most common mask sigma.
58 // 1.07735 - second most common mask sigma.
74 auto check = [&](double sigma, SkGaussFilter::Type type) {
75 SkGaussFilter filter{sigma, type};
88 for (double sigma = 0.0; sigma < 2.0; sigma += 0.1)
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| /external/skia/src/effects/ |
| SkBlurMask.h | 18 static bool SK_WARN_UNUSED_RESULT BlurRect(SkScalar sigma, SkMask *dst, const SkRect &src,
22 static bool SK_WARN_UNUSED_RESULT BlurRRect(SkScalar sigma, SkMask *dst, const SkRRect &src,
27 // forceQuality will prevent BoxBlur from falling back to the low quality approach when sigma
39 SkScalar sigma, SkBlurStyle style, SkBlurQuality,
45 static bool SK_WARN_UNUSED_RESULT BlurGroundTruth(SkScalar sigma, SkMask* dst,
49 // If radius > 0, return the corresponding sigma, else return 0
51 // If sigma > 0.5, return the corresponding radius, else return 0
52 static SkScalar SK_API ConvertSigmaToRadius(SkScalar sigma);
67 @param size Should be 6*sigma bytes
68 @param sigma The standard deviation of the gaussian blur kerne
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| GrCircleBlurFragmentProcessor.fp | 25 const SkRect& circle, float sigma);
38 static float make_unnormalized_half_kernel(float* halfKernel, int halfKernelSize, float sigma) {
39 const float invSigma = 1.f / sigma;
53 // Create a Gaussian half-kernel (right side) and a summed area table given a sigma and number
56 int halfKernelSize, float sigma) {
58 const float tot = 2.f * make_unnormalized_half_kernel(halfKernel, halfKernelSize, sigma);
130 static uint8_t* create_circle_profile(float sigma, float circleR, int profileTextureWidth) {
135 int halfKernelSize = SkScalarCeilToInt(6.0f*sigma);
146 make_half_kernel_and_summed_table(halfKernel, summedKernel, halfKernelSize, sigma);
163 float sigma = profileWidth / 6.f
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| /external/skqp/src/effects/ |
| SkBlurMask.h | 18 static bool SK_WARN_UNUSED_RESULT BlurRect(SkScalar sigma, SkMask *dst, const SkRect &src,
22 static bool SK_WARN_UNUSED_RESULT BlurRRect(SkScalar sigma, SkMask *dst, const SkRRect &src,
27 // forceQuality will prevent BoxBlur from falling back to the low quality approach when sigma
39 SkScalar sigma, SkBlurStyle style, SkBlurQuality,
45 static bool SK_WARN_UNUSED_RESULT BlurGroundTruth(SkScalar sigma, SkMask* dst,
49 // If radius > 0, return the corresponding sigma, else return 0
51 // If sigma > 0.5, return the corresponding radius, else return 0
52 static SkScalar SK_API ConvertSigmaToRadius(SkScalar sigma);
67 must free the memory. The amount of memory allocated will be exactly 6*sigma bytes.
68 @param sigma The standard deviation of the gaussian blur kerne
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| /external/skia/src/core/ |
| SkGaussFilter.cpp | 45 static int calculate_bessel_factors(double sigma, double *gauss) {
46 auto var = sigma * sigma;
51 // BesselI_0 for 0 <= sigma < 2.
58 // Use a variable number of loops. When sigma is small, this only requires 3-4 loops, but
59 // when sigma is near 2, it could require 10 loops. The same holds for BesselI_1.
67 // BesselI_1 for 0 <= sigma < 2.
90 // The maximum spread for sigma == 2 is guass[4], but in order to know to stop guass[5]
107 static int calculate_gauss_factors(double sigma, double* gauss) {
108 SkASSERT(0 <= sigma && sigma < 2)
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| SkMaskCache.h | 26 static SkCachedData* FindAndRef(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality,
29 static SkCachedData* FindAndRef(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality,
36 static void Add(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality,
39 static void Add(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality,
|
| /external/skqp/src/core/ |
| SkGaussFilter.cpp | 45 static int calculate_bessel_factors(double sigma, double *gauss) {
46 auto var = sigma * sigma;
51 // BesselI_0 for 0 <= sigma < 2.
58 // Use a variable number of loops. When sigma is small, this only requires 3-4 loops, but
59 // when sigma is near 2, it could require 10 loops. The same holds for BesselI_1.
67 // BesselI_1 for 0 <= sigma < 2.
90 // The maximum spread for sigma == 2 is guass[4], but in order to know to stop guass[5]
107 static int calculate_gauss_factors(double sigma, double* gauss) {
108 SkASSERT(0 <= sigma && sigma < 2)
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| SkMaskCache.h | 26 static SkCachedData* FindAndRef(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality,
29 static SkCachedData* FindAndRef(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality,
36 static void Add(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality,
39 static void Add(SkScalar sigma, SkBlurStyle style, SkBlurQuality quality,
|
| /external/iproute2/netem/ |
| stats.c | 24 double mu=0.0, sigma=0.0, sumsquare=0.0, sum=0.0, top=0.0, rho=0.0; local
44 sigma = sqrt((sumsquare - (double)n*mu*mu)/(double)(n-1));
54 printf("sigma = %12.6f\n", sigma);
57 /*printf("correlation rho = %10.6f\n", top/((double)(n-1)*sigma*sigma));*/
|
| /external/skia/gm/ |
| blurimagevmask.cpp | 31 for (auto sigma:sigmas) {
36 sprintf(out, "Sigma: %g", sigma);
42 SkBlurMaskFilter::Make(kNormal_SkBlurStyle, sigma,
49 imageBlurPaint.setImageFilter(SkBlurImageFilter::Make(sigma, sigma, nullptr));
|
| blurtextsmallradii.cpp | 17 for (auto sigma : sigmas) {
20 paint.setMaskFilter(SkBlurMaskFilter::Make(kNormal_SkBlurStyle, sigma));
|
| /external/skqp/gm/ |
| blurimagevmask.cpp | 31 for (auto sigma:sigmas) {
36 sprintf(out, "Sigma: %g", sigma);
42 SkBlurMaskFilter::Make(kNormal_SkBlurStyle, sigma,
49 imageBlurPaint.setImageFilter(SkBlurImageFilter::Make(sigma, sigma, nullptr));
|
| blurtextsmallradii.cpp | 17 for (auto sigma : sigmas) {
20 paint.setMaskFilter(SkBlurMaskFilter::Make(kNormal_SkBlurStyle, sigma));
|
| /external/libvpx/libvpx/vpx_dsp/ |
| postproc.h | 18 // Fills a noise buffer with gaussian noise strength determined by sigma.
19 int vpx_setup_noise(double sigma, int8_t *noise, int size);
|
| add_noise.c | 41 static double gaussian(double sigma, double mu, double x) {
42 return 1 / (sigma * sqrt(2.0 * 3.14159265)) *
43 (exp(-(x - mu) * (x - mu) / (2 * sigma * sigma)));
46 int vpx_setup_noise(double sigma, int8_t *noise, int size) {
52 const int a_i = (int)(0.5 + 256 * gaussian(sigma, 0, i));
|
| /frameworks/rs/tests/java_api/ImageProcessing/src/com/android/rs/image/ |
| threshold.rs | 39 // g(x) = ( 1 / sqrt( 2 * pi ) * sigma) * e ^ ( -x^2 / 2 * sigma^2 )
41 // and sigma varies with radius.
42 // Based on some experimental radius values and sigma's
43 // we approximately fit sigma = f(radius) as
44 // sigma = radius * 0.4 + 0.6
46 // will resemble a box blur since with large sigma
48 float sigma = 0.4f * (float)radius + 0.6f;
54 float coeff1 = 1.0f / (sqrt( 2.0f * pi ) * sigma);
55 float coeff2 = - 1.0f / (2.0f * sigma * sigma)
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| /frameworks/rs/tests/java_api/ImageProcessing2/src/com/android/rs/image/ |
| threshold.rs | 39 // g(x) = ( 1 / sqrt( 2 * pi ) * sigma) * e ^ ( -x^2 / 2 * sigma^2 )
41 // and sigma varies with radius.
42 // Based on some experimental radius values and sigma's
43 // we approximately fit sigma = f(radius) as
44 // sigma = radius * 0.4 + 0.6
46 // will resemble a box blur since with large sigma
48 float sigma = 0.4f * (float)radius + 0.6f;
54 float coeff1 = 1.0f / (sqrt( 2.0f * pi ) * sigma);
55 float coeff2 = - 1.0f / (2.0f * sigma * sigma)
[all...] |
| /frameworks/rs/tests/java_api/ImageProcessing_jb/src/com/android/rs/image/ |
| threshold.rs | 39 // g(x) = ( 1 / sqrt( 2 * pi ) * sigma) * e ^ ( -x^2 / 2 * sigma^2 )
41 // and sigma varies with radius.
42 // Based on some experimental radius values and sigma's
43 // we approximately fit sigma = f(radius) as
44 // sigma = radius * 0.4 + 0.6
46 // will resemble a box blur since with large sigma
48 float sigma = 0.4f * (float)radius + 0.6f;
54 float coeff1 = 1.0f / (sqrt( 2.0f * pi ) * sigma);
55 float coeff2 = - 1.0f / (2.0f * sigma * sigma)
[all...] |
| threshold_half.rs | 39 // g(x) = ( 1 / sqrt( 2 * pi ) * sigma) * e ^ ( -x^2 / 2 * sigma^2 )
41 // and sigma varies with radius.
42 // Based on some experimental radius values and sigma's
43 // we approximately fit sigma = f(radius) as
44 // sigma = radius * 0.4 + 0.6
46 // will resemble a box blur since with large sigma
48 half sigma = 0.4f * (half)radius + 0.6f;
54 half coeff1 = 1.0f / (sqrt( 2.0f * pi ) * sigma);
55 half coeff2 = - 1.0f / (2.0f * sigma * sigma)
[all...] |
| /frameworks/base/libs/hwui/utils/ |
| Blur.h | 28 // If radius > 0, return the corresponding sigma, else return 0
30 // If sigma > 0.5, return the corresponding radius, else return 0
31 ANDROID_API static float convertSigmaToRadius(float sigma);
32 // If the original radius was on an integer boundary then after the sigma to
|
| Blur.cpp | 33 float Blur::convertSigmaToRadius(float sigma) {
34 return sigma > 0.5f ? (sigma - 0.5f) / BLUR_SIGMA_SCALE : 0.0f;
50 * for sigma and to preserve compatibility we have kept that logic.
52 * Based on some experimental radius and sigma values we approximate the
53 * equation sigma = f(radius) as sigma = radius * 0.3 + 0.6. The larger the
55 * large sigma the gaussian curve begins to lose its shape.
68 // g(x) = ( 1 / sqrt( 2 * pi ) * sigma) * e ^ ( -x^2 / 2 * sigma^2
71 float sigma = legacyConvertRadiusToSigma(radius); local
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