逐像素模糊c图像-特殊情况
我正在开发一个程序，它会使c语言中的图像略微模糊 我知道我需要8个周围像素和选定像素的平均值和rgb值来更改该像素的颜色，所以我将它们相加并取平均值 我知道我正在实施的方式并不是最有效的方式，所以如果有任何关于如何简化的建议，请告诉我 我计划在末尾的第三个for循环中将逐像素模糊c图像-特殊情况,c,image,C,Image,我正在开发一个程序，它会使c语言中的图像略微模糊 我知道我需要8个周围像素和选定像素的平均值和rgb值来更改该像素的颜色，所以我将它们相加并取平均值 我知道我正在实施的方式并不是最有效的方式，所以如果有任何关于如何简化的建议，请告诉我 我计划在末尾的第三个for循环中将tempimage复制回image 结构包含像素的rgb值 BYTE rgbtBlue; BYTE rgbtGreen; BYTE rgbtRed; 我现在的问题是处理特殊情况，例如图像的边缘或侧面
tempimageimage BYTE rgbtBlue;
BYTE rgbtGreen;
BYTE rgbtRed;
void blur(int height, int width, RGBTRIPLE image[height][width])
{
// copy all values to temporary image
RGBTRIPLE tempimage[height][width];
int avgRed = 0;
int avgGreen = 0;
int avgBlue = 0;
//copy pixels to temp image
for ( int x = 0; x < height; x++)
{
for (int y = 0; y < width; y++)
{
tempimage[x][y] = image[x][y];
}
}
//get average of surrounding pixels
for ( int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
//TODO: edge check
//surrounding pixels
avgRed = round(((float)(image[i][j].rgbtRed
+ image[i][j - 1].rgbtRed + image[i][j + 1].rgbtRed
+ image[i - 1][j].rgbtRed + image[i - 1][j - 1].rgbtRed
+ image[i - 1][j + 1].rgbtRed + image[i + 1][j].rgbtRed
+ image[i + 1][j - 1].rgbtRed + image[i + 1][j + 1].rgbtRed)) / 9);
avgGreen = round(((float)(image[i][j].rgbtGreen
+ image[i][j - 1].rgbtGreen + image[i][j + 1].rgbtGreen
+ image[i - 1][j].rgbtGreen + image[i - 1][j - 1].rgbtGreen
+ image[i - 1][j + 1].rgbtGreen + image[i + 1][j].rgbtGreen
+ image[i + 1][j - 1].rgbtGreen + image[i + 1][j + 1].rgbtGreen)) / 9);
avgBlue = round(((float)(image[i][j].rgbtBlue
+ image[i][j - 1].rgbtBlue + image[i][j + 1].rgbtBlue
+ image[i - 1][j].rgbtBlue + image[i - 1][j - 1].rgbtBlue
+ image[i - 1][j + 1].rgbtBlue + image[i + 1][j].rgbtBlue
+ image[i + 1][j - 1].rgbtBlue + image[i + 1][j + 1].rgbtBlue)) / 9);
tempimage[i][j].rgbtRed = avgRed;
tempimage[i][j].rgbtGreen = avgGreen;
tempimage[i][j].rgbtBlue = avgBlue;
}
}
//TODO: for loop to copy tempimage back to image here
return;
}
void blur（int-height、int-width、rgb三重图像[height][width]）
{
//将所有值复制到临时映像
RGB三倍频图像[高度][宽度]；
int-avgRed=0；
int-avgGreen=0；
int-avgBlue=0；
//将像素复制到临时图像
对于（int x=0；xfor ( int i = 0; i < height; i++)
{
// Edge check (A for 'above' index and B for 'below'):
int A = i - 1; if (A < 0) A = 0;
int B = i + 1; if (B > height - 1) B = height - 1;
for (int j = 0; j < width; j++)
{
// Edge check (L = 'left of', R = 'right of'):
int L = j - 1; if (L < 0) L = 0;
int R = j + 1; if (R > width - 1) R = width - 1;
// Then change all your 'i-1'|'i+i'|'j-i'|j+1' indexes to A|B|L|R:
avgRed = round(((float)(image[i][j].rgbtRed
+ image[i][L].rgbtRed + image[i][R].rgbtRed
+ image[A][j].rgbtRed + image[A][L].rgbtRed
+ image[A][R].rgbtRed + image[B][j].rgbtRed
+ image[B][L].rgbtRed + image[B][R].rgbtRed)) / 9);
// ... and similarly for green and blue ...
for（int i=0；iheight-1）B=height-1；
对于（int j=0；jwidth-1）R=width-1；
//然后将所有“i-1”|“i+i”|“j-i”| j+1”索引更改为A | B | L | R：
avgRed=圆形（（浮动）（图像[i][j].rgbtRed
+图像[i][L].rgbtRed+图像[i][R].rgbtRed
+图像[A][j].rgbtRed+图像[A][L].rgbtRed
+图像[A][R].rgbtRed+图像[B][j].rgbtRed
+图像[B][L].rgbtRed+图像[B][R].rgbtRed））/9）；
//…绿色和蓝色也是如此。。。
顺便说一句，我注意到您的像素索引是image[column][row]（=列主顺序）。通常，
CC++// Blur image
void blur(int height, int width, RGBTRIPLE image[height][width])
{
int sumBlue;
int sumGreen;
int sumRed;
//create a temporary table
RGBTRIPLE temp[height][width];
for (int i = 0; i < width; i++)
{
for (int j = 0; j < height; j++)
{
sumBlue = 0;
sumGreen = 0;
sumRed = 0;
//Top row
if (i == 0)
{
if (j == 0) //top row left corner
{
sumBlue = round(ceil(image[i][j].rgbtBlue
+ image[i][j + 1].rgbtBlue
+ image[i + 1][j].rgbtBlue
+ image[i + 1][j + 1].rgbtBlue) / 4);
sumGreen = round(ceil(image[i][j].rgbtGreen
+ image[i][j + 1].rgbtGreen
+ image[i + 1][j].rgbtGreen
+ image[i + 1][j + 1].rgbtGreen) / 4);
sumRed = round(ceil(image[i][j].rgbtRed
+ image[i][j + 1].rgbtRed
+ image[i + 1][j].rgbtRed
+ image[i + 1][j + 1].rgbtRed) / 4);
}
else if (j == width - 1) //top row right corner
{
sumBlue = round(ceil(image[i][j].rgbtBlue
+ image[i][j - 1].rgbtBlue
+ image[i + 1][j].rgbtBlue
+ image[i + 1][j - 1].rgbtBlue) / 4);
sumGreen = round(ceil(image[i][j].rgbtGreen
+ image[i][j - 1].rgbtGreen
+ image[i + 1][j].rgbtGreen
+ image[i + 1][j - 1].rgbtGreen) / 4);
sumRed = round(ceil(image[i][j].rgbtRed
+ image[i][j - 1].rgbtRed
+ image[i + 1][j].rgbtRed
+ image[i + 1][j - 1].rgbtRed) / 4);
}
else //top row middle pixel
{
sumBlue = round(ceil(image[i][j].rgbtBlue
+ image[i][j - 1].rgbtBlue
+ image[i][j + 1].rgbtBlue
+ image[i + 1][j].rgbtBlue
+ image[i + 1][j - 1].rgbtBlue
+ image[i + 1][j + 1].rgbtBlue) / 6);
sumGreen = round(ceil(image[i][j].rgbtGreen
+ image[i][j - 1].rgbtGreen
+ image[i][j + 1].rgbtGreen
+ image[i + 1][j].rgbtGreen
+ image[i + 1][j - 1].rgbtGreen
+ image[i + 1][j + 1].rgbtGreen) / 6);
sumRed = round(ceil(image[i][j].rgbtRed
+ image[i][j - 1].rgbtRed
+ image[i][j + 1].rgbtRed
+ image[i + 1][j].rgbtRed
+ image[i + 1][j - 1].rgbtRed
+ image[i + 1][j + 1].rgbtRed) / 6);
}
}
//Bottom row of image
else if (i == height - 1)
{
if (j == 0) //left side pixel of bottom row
{
sumBlue = round(ceil(image[i][j].rgbtBlue
+ image[i][j + 1].rgbtBlue
+ image[i - 1][j].rgbtBlue
+ image[i - 1][j + 1].rgbtBlue) / 4);
sumGreen = round(ceil(image[i][j].rgbtGreen
+ image[i][j + 1].rgbtGreen
+ image[i - 1][j].rgbtGreen
+ image[i - 1][j + 1].rgbtGreen) / 4);
sumRed = round(ceil(image[i][j].rgbtRed
+ image[i][j + 1].rgbtRed
+ image[i - 1][j].rgbtRed
+ image[i - 1][j + 1].rgbtRed) / 4);
}
else if (j == width - 1) //right side pixel of last row
{
sumBlue = round(ceil(image[i][j].rgbtBlue
+ image[i][j - 1].rgbtBlue
+ image[i - 1][j].rgbtBlue
+ image[i - 1][j - 1].rgbtBlue) / 4);
sumGreen = round(ceil(image[i][j].rgbtGreen
+ image[i][j - 1].rgbtGreen
+ image[i - 1][j].rgbtGreen
+ image[i - 1][j - 1].rgbtGreen) / 4);
sumRed = round(ceil(image[i][j].rgbtRed
+ image[i][j - 1].rgbtRed
+ image[i - 1][j].rgbtRed
+ image[i - 1][j - 1].rgbtRed) / 4);
}
else //middle pixels of last row
{
sumBlue = round(ceil(image[i][j].rgbtBlue
+ image[i][j - 1].rgbtBlue
+ image[i][j + 1].rgbtBlue
+ image[i - 1][j].rgbtBlue
+ image[i - 1][j - 1].rgbtBlue
+ image[i - 1][j + 1].rgbtBlue) / 6);
sumGreen = round(ceil(image[i][j].rgbtGreen
+ image[i][j - 1].rgbtGreen
+ image[i][j + 1].rgbtGreen
+ image[i - 1][j].rgbtGreen
+ image[i - 1][j - 1].rgbtGreen
+ image[i - 1][j + 1].rgbtGreen) / 6);
sumRed = round(ceil(image[i][j].rgbtRed
+ image[i][j - 1].rgbtRed
+ image[i][j + 1].rgbtRed
+ image[i - 1][j].rgbtRed
+ image[i - 1][j - 1].rgbtRed
+ image[i - 1][j + 1].rgbtRed) / 6);
}
}
else
{
if (j == 0) //left side of image
{
sumBlue = round(ceil(image[i][j].rgbtBlue
+ image[i - 1][j].rgbtBlue
+ image[i + 1][j].rgbtBlue
+ image[i][j + 1].rgbtBlue
+ image[i - 1][j + 1].rgbtBlue
+ image[i + 1][j + 1].rgbtBlue) / 6); //6 pixels surrounding the left side of the image
sumGreen = round(ceil(image[i][j].rgbtGreen
+ image[i - 1][j].rgbtGreen
+ image[i + 1][j].rgbtGreen
+ image[i][j + 1].rgbtGreen
+ image[i - 1][j + 1].rgbtGreen
+ image[i + 1][j + 1].rgbtGreen) / 6);
sumRed = round(ceil(image[i][j].rgbtRed
+ image[i - 1][j].rgbtRed
+ image[i + 1][j].rgbtRed
+ image[i][j + 1].rgbtRed
+ image[i - 1][j + 1].rgbtRed
+ image[i + 1][j + 1].rgbtRed) / 6);
}
//Right side of image
else if (j == width - 1)
{
sumBlue = round(ceil(image[i][j].rgbtBlue
+ image[i - 1][j].rgbtBlue
+ image[i + 1][j].rgbtBlue
+ image[i][j - 1].rgbtBlue
+ image[i - 1][j - 1].rgbtBlue
+ image[i + 1][j - 1].rgbtBlue) / 6);
sumGreen = round(ceil(image[i][j].rgbtGreen
+ image[i - 1][j].rgbtGreen
+ image[i + 1][j].rgbtGreen
+ image[i][j - 1].rgbtGreen
+ image[i - 1][j - 1].rgbtGreen
+ image[i + 1][j - 1].rgbtGreen) / 6);
sumRed = round(ceil(image[i][j].rgbtRed
+ image[i - 1][j].rgbtRed
+ image[i + 1][j].rgbtRed
+ image[i][j - 1].rgbtRed
+ image[i - 1][j - 1].rgbtRed
+ image[i + 1][j - 1].rgbtRed) / 6);
}
else //middle pixels of middle rows
{
//calculate for blue pixels
sumBlue = round(ceil(image[i - 1][j - 1].rgbtBlue
+ image[i - 1][j].rgbtBlue
+ image[i - 1][j + 1].rgbtBlue
+ image[i][j - 1].rgbtBlue
+ image[i][j].rgbtBlue
+ image[i][j + 1].rgbtBlue
+ image[i + 1][j - 1].rgbtBlue
+ image[i + 1][j].rgbtBlue
+ image[i + 1][j + 1].rgbtBlue) / 9);
//calculate for green pixels
sumGreen = round(ceil(image[i - 1][j - 1].rgbtGreen
+ image[i - 1][j].rgbtGreen
+ image[i - 1][j + 1].rgbtGreen
+ image[i][j - 1].rgbtGreen
+ image[i][j].rgbtGreen
+ image[i][j + 1].rgbtGreen
+ image[i + 1][j - 1].rgbtGreen
+ image[i + 1][j].rgbtGreen
+ image[i + 1][j + 1].rgbtGreen) / 9); // 9 pixels surrounding the middle one
//calculate for red pixels
sumRed = round(ceil(image[i - 1][j - 1].rgbtRed
+ image[i - 1][j].rgbtRed
+ image[i - 1][j + 1].rgbtRed
+ image[i][j - 1].rgbtRed
+ image[i][j].rgbtRed
+ image[i][j + 1].rgbtRed
+ image[i + 1][j - 1].rgbtRed
+ image[i + 1][j].rgbtRed
+ image[i + 1][j + 1].rgbtRed) / 9);
}
}
//assign temp values with the calculated values
temp[i][j].rgbtBlue = round((sumBlue));
temp[i][j].rgbtGreen = round((sumGreen));
temp[i][j].rgbtRed = round((sumRed));
}
}
//copies values from temporary table and assigns to original image
for (int i = 0; i < width; i++)
{
for (int j = 0; j < height; j++)
{
//assiging temp value to original image
image[j][i].rgbtBlue = temp[j][i].rgbtBlue;
image[j][i].rgbtGreen = temp[j][i].rgbtGreen;
image[j][i].rgbtRed = temp[j][i].rgbtRed;
}
}
}
//模糊图像
无效模糊（整数高度、整数宽度、RGB三重图像[高度][宽度]）
{
内苏姆兰；
int sumGreen；
国际消费；
//创建一个临时表
RGB三脚架温度[高度][宽度]；
对于（int i=0；i