我目前正在使用阵列存储来自宽度为120像素,高度为100像素的24位BITMAP图像的R,G,B值进行成像处理。
正在使用Visual Studio 2010。
我目前已从24位位图中将各个R,G,B值提取到三个单独的2D数组中(假定正确的R,G,B值也已被写入具有正确像素数的文本文件中,因此被认为是正确的) 。
这些单独的R,G,B值需要还原回一个数组(1D或2D),然后将其写入图像文件。输出应与原始图像相同。
我尝试了以下操作,但是输出当前不正确(宽度,高度和内存大小相同,但颜色不正确)。
感谢您的指导和反馈。
#include <iostream>
#include <fstream>
#include <windows.h>
#include <WinGDI.h>
unsigned char** Allocate2DArray(int w, int h)
{
unsigned char ** buffer = new unsigned char * [h]; // allocate the rows
unsigned char * memory_pool = new unsigned char [w*h]; // allocate memory pool
for (int i = 0; i < h; ++i)
{
buffer[i] = memory_pool; // point row pointer
memory_pool += w; // go to next row in memory pool
}
return buffer;
}
void DeAllocate2DArray(unsigned char** buffer)
{
delete [] buffer[0]; // delete the memory pool
delete [] buffer; // delete the row pointers
}
using namespace std;
int main()
{
const int width = 120;
const int height = 100;
int bytesPerPixel = 3;
unsigned char m_cHeaderData[54];
unsigned char** m_cImageData = new unsigned char* [height];
for( int i = 0; i <height; i++)
{
m_cImageData[i] = new unsigned char [width*bytesPerPixel];
}
ifstream* m_pInFile;
m_pInFile = new ifstream;
m_pInFile->open("image.bmp", ios::in | ios::binary);
m_pInFile->seekg(0, ios::beg);
m_pInFile->read(reinterpret_cast<char*>(m_cHeaderData), 54);
for(int i = 0; i <height; i++)
{
m_pInFile->read(reinterpret_cast<char*>(m_cImageData[i]), width*bytesPerPixel);
}
m_pInFile->close();
// Declare a pointer of the type you want.
// This will point to the 1D array
unsigned char* array_1D;
array_1D = new unsigned char[height*width*bytesPerPixel];
if(array_1D == NULL) return 0; // return if memory not allocated
// Copy contents from the existing 2D array
int offset = 0;
for(int j=0; j<height; j++) // traverse height (or rows)
{
offset = width * bytesPerPixel* j;
for(int i=0; i<width*bytesPerPixel; i++) // traverse width
{
array_1D[offset + i] = m_cImageData[j][i];
// update value at current (i, j)
}
}
// Declare three 2D arrays to store R,G, and B planes of image.
unsigned char**arrayR_2D, **arrayG_2D, **arrayB_2D;
arrayR_2D = Allocate2DArray(width, height);
arrayG_2D = Allocate2DArray(width, height);
arrayB_2D = Allocate2DArray(width, height);
// return if memory not allocated
if(arrayR_2D == NULL || arrayG_2D == NULL || arrayB_2D == NULL) return 0;
// Extract R,G,B planes from the existing composite 1D array
ofstream RGBdata2D;
RGBdata2D.open("RGBdata2D.txt");
int pixelCount = 0;
int offsetx = 0;
int counter = 0;
for(int j=0; j<height; j++) // traverse height (or rows)
{
offsetx = width * j * bytesPerPixel;
for(int i=0; i<width*bytesPerPixel; i+=bytesPerPixel) // width
{
arrayB_2D[j][counter] = array_1D[offsetx + i+0];
arrayG_2D[j][counter] = array_1D[offsetx + i+1];
arrayR_2D[j][counter] = array_1D[offsetx + i+2];
RGBdata2D<<"B: "<< (int)arrayB_2D[j][counter] << " G: " << (int)arrayG_2D[j][counter] << " R: " << (int)arrayR_2D[j][counter]<< endl;
pixelCount++;
++counter;
}
counter = 0;
}
RGBdata2D<<"count of pixels: "<< pixelCount << endl;
RGBdata2D.close();
//put RGB from 2D array contents back into a 1D array
offset = 0;
counter = 0;
for(int j=0; j<height; j++) // traverse height (or rows)
{
offset = width * bytesPerPixel * j;
for(int i=0; i<width*bytesPerPixel; i+=bytesPerPixel) // width
{
array_1D[offset + i+0] = arrayB_2D[j][counter++];
array_1D[offset + i+1] = arrayG_2D[j][counter++];
array_1D[offset + i+2] = arrayR_2D[j][counter++];
}
counter = 0;
}
ofstream* m_pOutFileRGB;
m_pOutFileRGB = new ofstream;
m_pOutFileRGB->open("imageCopyRGB.bmp", ios::out | ios::trunc | ios::binary);
m_pOutFileRGB->write(reinterpret_cast<char*>(m_cHeaderData), 54);
for(int i = 0; i <height; i++)
{
m_pOutFileRGB->write(reinterpret_cast<char*>(array_1D), width*bytesPerPixel);
}
m_pOutFileRGB->close();
// After complete usage, delete the memory dynamically allocated
DeAllocate2DArray(arrayR_2D);
DeAllocate2DArray(arrayG_2D);
DeAllocate2DArray(arrayB_2D);
// After complete usage, delete the memory dynamically allocated
delete[] array_1D; //delete the pointer to pointer
for(int i = 0; i <height; i++)
{
delete[] m_cImageData[i];
}
delete[] m_cImageData;
system("pause");
return 0;
}
最佳答案
我没有自己测试,但是在这一点上
for(int i=0; i<width*bytesPerPixel; i+=bytesPerPixel) // width
{
array_1D[offset + i+0] = arrayB_2D[j][counter++];
array_1D[offset + i+1] = arrayG_2D[j][counter++];
array_1D[offset + i+2] = arrayR_2D[j][counter++];
}
您增加
counter
的次数过多,可能会导致错误的结果。相反,请尝试以下操作:
for(int i=0; i<width*bytesPerPixel; i+=bytesPerPixel) // width
{
array_1D[offset + i+0] = arrayB_2D[j][counter];
array_1D[offset + i+1] = arrayG_2D[j][counter];
array_1D[offset + i+2] = arrayR_2D[j][counter];
counter++;
}