椒盐噪声
椒盐噪声就是给图片添加黑白噪点,椒指的是黑色的噪点(0,0,0),盐指的是白色的噪点(255,255,255),通过num来控制噪声多少,值越大添加的噪声越多,图像损坏的更加严重。
void add_salt_pepper_noise(Mat& src,Mat& dst,int num)
{
dst = src.clone();
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
std::default_random_engine generator (seed);
std::uniform_int_distribution<int> distribute_x(0, src.cols - 1);//包含max
std::uniform_int_distribution<int> distribute_y(0, src.rows - 1);//包含max
//black
for(int i = 0;i < num;i ++){
int x = distribute_x(generator);
int y = distribute_y(generator);
dst.at<Vec3b>(y,x) = Vec3b(0,0,0);
}
//white
for(int i = 0;i < num;i ++){
int x = distribute_x(generator);
int y = distribute_y(generator);
dst.at<Vec3b>(y,x) = Vec3b(255,255,255);
}
}
下图是设置num=1000时产生的噪声图像:
高斯噪声
高斯噪声就是给图片添加一个服从高斯分布的噪声,可以通过调节高斯分布标准差sigma的大小来控制添加噪声程度,sigma
越大添加的噪声越多图片损坏的越厉害.
void add_gassion_noise(Mat& src,Mat& dst,int mean,int sigma)
{
dst = src.clone();
Mat _gassion = Mat::zeros(src.rows,src.cols,CV_8UC3);
cv::RNG rng;
rng.fill(_gassion, RNG::NORMAL, mean, sigma);
dst = dst + _gassion;
}
下图是mean=50,sigma=50时产生的噪声图像:
随机形状斑点噪声
随机斑点噪声是通过生成随机的多变形来实现的。
注意以下代码中image是QImage,num表示产生20个斑点。
Mat _msk = Mat::zeros(image->height(),image->width(),CV_8UC1);
num = 20;
Mat kernal = Mat::ones(3,3,CV_8UC1);
kernal.at<uchar>(0,0) = 0;
kernal.at<uchar>(0,2) = 0;
kernal.at<uchar>(2,0) = 0;
kernal.at<uchar>(2,2) = 0;
for(int i = 0;i < num;i ++){
quint32 value = QRandomGenerator::global()->generate();
int cx = value % (this->width() / 2 - 1);
value = QRandomGenerator::global()->generate();
int cy = value % (this->height() - 1);
std::vector<Point> _polygon;
int _line_num = 20,_min_radius = 2,_max_radius = 7;
double _angle_step = 2 * 3.1415926 / _line_num;
Point center(cx,cy);
for (int i = 0;i < _line_num;i ++){
quint32 value = QRandomGenerator::global()->generate();
double k = value % 100 / 100.0;
double _angle = _angle_step * i;
_angle = _angle + (k - 0.5) * _angle_step * 0.25;
value = QRandomGenerator::global()->generate();
k = value % 100 / 100.0;
double radius = _min_radius + k * (_max_radius - _min_radius);
int x = radius * cos(_angle);
int y = radius * sin(_angle);
_polygon.push_back(Point(center.x + x,center.y + y));
}
value = QRandomGenerator::global()->generate();
int c = value % 255;
cv::fillPoly(_msk,_polygon,Scalar(c));
//cv::morphologyEx(_msk,_msk,MORPH_DILATE,kernal,Point(-1,-1),1);
}
cv::GaussianBlur(_msk,_msk,Size(5,5),0);
for (int h = 0;h < _msk.rows;h ++)
{
uchar *d1 = image->scanLine(h);
uchar *d2 = _msk.ptr<uchar>(h);
for (int w = 0;w < _msk.cols;w ++)
{
int w4 = 4*w;
double v = d1[w4 + 0] * (1 - d2[w] / 255.0);
if (v > 255)v = 255;
if (v < 0)v = 0;
d1[w4 + 0] = v;
v = d1[w4 + 1] * (1 - d2[w] / 255.0);
if (v > 255)v = 255;
if (v < 0)v = 0;
d1[w4 + 1] = v;
v = d1[w4 + 2] * (1 - d2[w] / 255.0);
if (v > 255)v = 255;
if (v < 0)v = 0;
d1[w4 + 2] = v;
}
}
以上代码只产生黑色斑点, 白色斑点只要将合并方式改成加即可:double v = d1[w4 + 0] * (1 + d2[w] / 255.0);