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做水果网站首页的图片素材,网页设计与制作作业成品,wordpress主题无法安装,关于做摄影网站目录 1 简介 2 算法原理 3 代码实现 4 演示Demo 4.1 开发环境 4.2 功能介绍 4.3 下载地址参考 1 简介 BEEPS（Bias Elimination in Edge-Preserving Smoothing） 是一种基于偏微分方程（PDE）的边缘保留平滑滤波算法。它能够…

1 简介

2 算法原理

3 代码实现

4 演示Demo

4.1 开发环境

4.2 功能介绍

4.3 下载地址

参考

1 简介

BEEPS（Bias Elimination in Edge-Preserving Smoothing） 是一种基于偏微分方程（PDE）的边缘保留平滑滤波算法。它能够在平滑图像的同时有效消除偏差（Bias），从而更好地保留边缘和细节。BEEPS 滤波算法广泛应用于图像去噪、图像增强和医学图像处理等领域。

2 算法原理

BEEPS 滤波的核心思想是通过引入偏差消除项，改进传统的边缘保留平滑算法（如各向异性扩散）。其数学模型基于以下偏微分方程：

$\frac{\vartheta{I}}{\vartheta{t}} = div(c(|\triangledown I|)* \triangledown I) - \lambda (I-I_0)$

其中

I 是图像。
∇I 是图像的梯度。
c(∣∇I∣) 是扩散系数，控制滤波的强度。
$\lambda$ 是偏差消除项的权重。
$I_0$ 是原始图像

扩散系数c(∣∇I∣) 通常定义为：

$c(|\triangledown I|) = \frac{1}{1+(\frac{|\triangledown I|}{k})^2}$

或

$c(|\triangledown I|) = -exp(-(\frac{|\triangledown I|}{k})^2)$

其中，k 是一个控制边缘敏感度的参数。

算法步骤：

计算图像的梯度 ∇I。
根据梯度计算扩散系数 c(∣∇I∣)。
使用扩散系数更新图像像素值。
重复上述步骤，直到达到指定的迭代次数。

3 代码实现

Anisotropic滤波算法的的C语言实现代码如下

double Gaussian(int u, int v, double sigma)
{int t = -(u - v) * (u - v);return exp((double)t / sigma);
}
int BEEPSHorizontal(unsigned char* srcPtr, int width, int height, unsigned char* outData, double sigma, int c)
{unsigned char* F = (unsigned char*)malloc(sizeof(unsigned char) * width * height);int *s = (int*)malloc(sizeof(int) * width);int *v = (int*)malloc(sizeof(int) * width);int pos = 0, X = 0, Y = 0;int p = 0;memset(F, 0, width * height);memset(outData, 0, width * height);memset(s, 0, width);memset(v, 0, width);unsigned char* D = outData;for (int y = 0; y < height; y++){for (int x = 0; x < width; x++){X = width - 1 - x;Y = height - 1 - y;if (x == 0){pos = x + y * width;F[pos] = srcPtr[pos];s[0] = srcPtr[pos];p = X;pos = p + Y * width;v[p] = srcPtr[pos];D[pos] = srcPtr[pos];}else{p = x;pos = p + y * width;s[p] = (int)(10.0 * Gaussian(srcPtr[pos], F[pos - 1], sigma));F[pos] = CLIP3((((100 - s[p] * c) * srcPtr[pos] + s[p] * c * F[pos - 1]) / 100), 0, 255);p = X;pos = p + Y * width;v[p] = (int)(10.0 * Gaussian(srcPtr[pos], D[pos + 1], sigma));D[pos] = CLIP3((((100 - v[p] * c) * srcPtr[pos] + v[p] * c * D[pos + 1]) / 100), 0, 255);}}}for (int i = 0; i < height * width; i++){D[i] = CLIP3(((10 * F[i] - (10 - c) * (srcPtr[i]) + 10 * D[i]) / (10 + c)), 0, 255);}free(F);free(s);free(v);return 0;
}int BEEPSVertical(unsigned char* srcPtr, int width, int height, unsigned char* outData, double sigma, int c)
{unsigned char* F = (unsigned char*)malloc(sizeof(unsigned char) * width * height);unsigned char* D = outData;int* s = (int*)malloc(sizeof(int) * height);int* v = (int*)malloc(sizeof(int) * height);int pos = 0, X = 0, Y = 0;memset(s, 0, height);memset(v, 0, height);for (int x = 0; x < width; x++){for (int y = 0; y < height; y++){X = width - 1 - x;Y = height - 1 - y;if (y == 0){pos = x + y * width;F[pos] = srcPtr[pos];s[y] = srcPtr[pos];pos = X + Y * width;D[pos] = srcPtr[pos];v[Y] = srcPtr[pos];}else{pos = x + y * width;s[y] = (int)(10.0 * Gaussian(srcPtr[pos], F[pos - width], sigma));F[pos] = CLIP3((((100 - s[y] * c) * srcPtr[pos] + s[y] * c * F[pos - width]) / 100), 0, 255);pos = X + Y * width;v[Y] = (int)(10.0 * Gaussian(srcPtr[pos], D[pos + width], sigma));D[pos] = CLIP3((((100 - v[Y] * c) * srcPtr[pos] + v[Y] * c * D[pos + width]) / 100), 0, 255);}}}for (int i = 0; i < height*width; i++){D[i] = CLIP3(((10 * F[i] - (10 - c) * (srcPtr[i]) + 10 * D[i]) / (10 + c)), 0, 255);}free(F);free(s);free(v);return 0;
}void BEEPSProcess(unsigned char* srcPtr, int width, int height, float sigma, float c)
{float* GMAP = (float*)malloc(sizeof(float) * 256 * 256);for (int j = 0; j < 256; j++){for (int i = 0; i < 256; i++){GMAP[i + j * 256] = Gaussian(i, j, sigma);}}sigma = sigma > 50 ? 50 : sigma;sigma = sigma * sigma * 2.0f;float Lamba = 10.0f * (float)(1 - (sqrt(2.0f * c * c + 1) - 1) / (c * c));unsigned char* pSrc = srcPtr;unsigned char* hValue = (unsigned char*)malloc(sizeof(unsigned char) * width * height);unsigned char* vValue = (unsigned char*)malloc(sizeof(unsigned char) * width * height);unsigned char* dstValue = (unsigned char*)malloc(sizeof(unsigned char) * width * height);BEEPSHorizontal(pSrc, width, height, hValue, sigma, Lamba);BEEPSVertical(hValue, width, height, vValue, sigma, Lamba);BEEPSVertical(pSrc, width, height, hValue, sigma, Lamba);BEEPSHorizontal(hValue, width, height, dstValue, sigma, Lamba);for (int i = 0; i < width * height; i++){*pSrc++ = CLIP3(((vValue[i] + dstValue[i]) / 2), 0, 255);}free(hValue);free(vValue);free(dstValue);
}int mxBeepsFilter(unsigned char* srcData, int nWidth, int nHeight, int nStride, float delta, float delta_s)
{if (srcData == NULL){return 0;}if (delta == 0 || delta_s == 0)return 0;unsigned char* yData = (unsigned char*)malloc(sizeof(unsigned char) * nWidth * nHeight);unsigned char* cbData = (unsigned char*)malloc(sizeof(unsigned char) * nWidth * nHeight);unsigned char* crData = (unsigned char*)malloc(sizeof(unsigned char) * nWidth * nHeight);unsigned char* pSrc = srcData;int Y, CB, CR;unsigned char* pY = yData;unsigned char* pCb = cbData;unsigned char* pCr = crData;for (int j = 0; j < nHeight; j++){for (int i = 0; i < nWidth; i++){RGBToYCbCr(pSrc[2], pSrc[1], pSrc[0], &Y, &CB, &CR);*pY = Y;*pCb = CB;*pCr = CR;pY++;pCb++;pCr++;pSrc += 4;}}BEEPSProcess(yData, nWidth, nHeight, delta, delta_s);pSrc = srcData;pY = yData;pCb = cbData;pCr = crData;int R, G, B;for (int j = 0; j < nHeight; j++){for (int i = 0; i < nWidth; i++){YCbCrToRGB(*pY, *pCb, *pCr, &R, &G, &B);pSrc[0] = B;pSrc[1] = G;pSrc[2] = R;pY++;pCb++;pCr++;pSrc += 4;}}free(yData);free(cbData);free(crData);return 0;
}