Generate Image from generated byte array in UWP vc++ - c++

Reference with this Question & answer by #Decade Moon
How can i use that method for generate image from byte array instead of image file.
i tried like below but nothing works. no image are shown
std::vector<char> data= std::vector<char>(imgx->Height * imgx->Width * 4);
int offset;
for (int row = 0; row < imgx->Height; row++)
{
for (int col = 0; col < imgx->Width; col++)
{
offset = (row * (int)(imgx->Width * 4)) + (col * 4);
data[offset] = 0x58; // Red
data[offset + 1] = 0x58; // Green
data[offset + 2] = 0x58; // Blue
data[offset + 3] = 0x58; // Alpha
}
};

My approach is little bit different from the reply you reffered to, but it works pretty well.
#include <wrl.h>
#include <robuffer.h>
using namespace Windows::UI::Xaml::Media::Imaging;
using namespace Windows::Storage::Streams;
using namespace Microsoft::WRL;
typedef uint8 byte;
byte* GetPointerToPixelData(IBuffer^ pixelBuffer, unsigned int *length)
{
if (length != nullptr)
{
*length = pixelBuffer ->Length;
}
// Query the IBufferByteAccess interface.
ComPtr<IBufferByteAccess> bufferByteAccess;
reinterpret_cast<IInspectable*>(pixelBuffer)->QueryInterface(IID_PPV_ARGS(&bufferByteAccess));
// Retrieve the buffer data.
byte* pixels = nullptr;
bufferByteAccess->Buffer(&pixels);
return pixels;
}
MainPage::MainPage()
{
InitializeComponent();
auto bitmap = ref new WriteableBitmap(50, 50);
image->Source = bitmap;
unsigned int length;
byte* sourcePixels = GetPointerToPixelData(bitmap->PixelBuffer, &length);
const unsigned int width = bitmap->PixelWidth;
const unsigned int height = bitmap->PixelHeight;
create_async([this, width, height, sourcePixels] {
byte* temp = sourcePixels;
// generate RED - BLUE gradient
for(unsigned int k = 0; k < height; k++) {
for (unsigned int i = 0; i < (width * 4); i += 4) {
int pos = k * (width * 4) + (i);
temp[pos] = (byte)(0xFF * k / (float)height); // B
temp[pos + 1] = 0x0; // G
temp[pos + 2] = 0xFF - (byte)(0xFF * k / (float)height); // R
temp[pos + 3] = 0xFF; // A
}
}
});
}

Related

Problems with BMP

Wrote a simple BMP generation code but instead of outputting what I want (red that gradually goes to black (from left to right)) it returns an image with some some weird layout far from what I expect to see. Was inspecting the way header and pixels written in the memory and everything seems alright
Output
#include <iostream>
#include <fstream>
size_t width = 1000, height = 1000, CPP = 3;
//this creates an array of pixels
//supposed to be from red to black from left to right
uint8_t* createBitMapI(const size_t& width, const size_t& height)
{
uint8_t _color[3] = { 255, 0, 0 };
uint8_t* bitMap = new uint8_t[width * height * 3];
//creating one row
for (float i = 0; i < width; i++)
{
*(bitMap + (int)(i * 3)) = (uint8_t)_color[0] * (1 - i / width);
*(bitMap + 1 + (int)(i * 3)) = 0;//(uint8_t)_color[1] * (1 - i / width);
*(bitMap + 2 + (int)(i * 3)) = 0;//(uint8_t)_color[2] * (1 - i / width);
}
//copying previously created row to others
for (size_t i = 1; i < height; i++)
{
memcpy(bitMap + (width * 3) * i, bitMap, width * 3);
}
return bitMap;
}
//creates BMP file and writes contents into it
class BMP
{
public:
BMP(const size_t& width, const size_t& height,
uint8_t* arr, const char* name)
{
const char pad_[3] = { 0, 0, 0 };
char padding = (4 - width % 4) % 4;
fullSize = (width + padding) * height * 3 + 54;
image.open(name);
writeHeader();
image.write((const char*)header, 54);
for (size_t i = 0; i < height; i++)
{
image.write((const char*)arr + (i * width), width * 3);
image.write(pad_, padding);
}
image.close();
}
void writeHeader()
{
memcpy(header, "BM", 2);
*(size_t*)(header + 2) = fullSize;
*(size_t*)(header + 10) = 54;
*(size_t*)(header + 14) = 40;
*(size_t*)(header + 18) = width;
*(size_t*)(header + 22) = height;
*(uint16_t*)(header + 26) = 1;
*(uint16_t*)(header + 28) = 24;
}
private:
std::ofstream image;
uint8_t header[54];
uint8_t* pixels;
size_t fullSize;
};
int main()
{
uint8_t* arr = createBitMapI(width, height);
BMP newImage(width, height, arr, "image.bmp");
delete[] arr;
}
upd: changing image.open(name) to image.open(name, std::ios::binary) gives us output2

C++ Blur effect on bit map is working but colors are changed

In relation to my previous question BitMap_blur efect, i have succeeded to make the bit map blurred but the problem is the colors of the blurred picture has been changed:
Original photo: https://ibb.co/eFHg8G
Blurred photo: https://ibb.co/mQDShb
The code of the blurring algorytm is the same as in my previous question:
for (xx = 0; xx < bitmapInfoHeader.biWidth; xx++)
{
for (yy = 0; yy <bitmapInfoHeader.biHeight; yy++)
{
avgB = avgG = avgR = 0;
Counter = 0;
for (x = xx; x < bitmapInfoHeader.biWidth && x < xx + blurSize; x++)
{
for (y = yy; y < bitmapInfoHeader.biHeight && y < yy + blurSize; y++)
{
avgB += bitmapImage[x *3 + y*bitmapInfoHeader.biWidth * 3 + 0]; //bitmapimage[x][y];
avgG += bitmapImage[x *3 + y*bitmapInfoHeader.biWidth * 3 + 1];
avgR += bitmapImage[x *3 + y*bitmapInfoHeader.biWidth * 3 + 2];
Counter++;
}
}
avgB = avgB / Counter;
avgG = avgG / Counter;
avgR = avgR / Counter;
bitmapImage[xx * 3 + yy*bitmapInfoHeader.biWidth * 3 + 0] = avgB;
bitmapImage[xx * 3 + yy*bitmapInfoHeader.biWidth * 3 + 1] = avgG;
bitmapImage[xx * 3 + yy*bitmapInfoHeader.biWidth * 3 + 2] = avgR;
}
}
So what am doing wrong here?
It actually looks like size of each line is padded to be multiple of 4 bytes. To get correct byte offset of each line you will need to replace
* bitmapInfoHeader.biWidth * 3
with
* (bitmapInfoHeader.biWidth * 3 + padding_bytes_count)
where
padding_bytes_count =
(
(
bitmapFileHeader.bfSize - bitmapFileHeader.bfOffBits
-
bitmapInfoHeader.biWidth * bitmapInfoHeader.biHeight * 3
)
/
bitmapInfoHeader.biHeight
);
For your tiger image padding_bytes_count should be 2.
Here, I create a semi-portable bitmap reader/writer.. Works on Windows, Linux Mint, MacOS High Sierra. I didn't test other platforms.. but it should work.
It has:
Portability
Load 24-bit bitmaps.
Load 32-bit bitmaps.
Write 24-bit bitmaps.
Write 32-bit bitmaps.
Convert between 24-bit and 32-bit bitmaps.
Convert between 32-bit and 24-bit bitmaps.
It doesn't have:
Support for Alpha Transparency. Alpha transparency has special fields and flags required to be set in the header. I don't feel like writing them in so it won't support it.
Only part of it that doesn't seem very portable would be the #pragma pack..
#include <iostream>
#include <fstream>
#if defined(_WIN32) || defined(_WIN64)
#include <windows.h>
#endif
typedef struct
{
uint8_t r, g, b, a;
} rgb32;
#if !defined(_WIN32) && !defined(_WIN64)
#pragma pack(2)
typedef struct
{
uint16_t bfType;
uint32_t bfSize;
uint16_t bfReserved1;
uint16_t bfReserved2;
uint32_t bfOffBits;
} BITMAPFILEHEADER;
#pragma pack()
#pragma pack(2)
typedef struct
{
uint32_t biSize;
int32_t biWidth;
int32_t biHeight;
uint16_t biPlanes;
uint16_t biBitCount;
uint32_t biCompression;
uint32_t biSizeImage;
int16_t biXPelsPerMeter;
int16_t biYPelsPerMeter;
uint32_t biClrUsed;
uint32_t biClrImportant;
} BITMAPINFOHEADER;
#pragma pack()
#endif
#pragma pack(2)
typedef struct
{
BITMAPFILEHEADER bfh;
BITMAPINFOHEADER bih;
} BMPINFO;
#pragma pack()
class bitmap
{
private:
BMPINFO bmpInfo;
uint8_t* pixels;
public:
bitmap(const char* path);
~bitmap();
void save(const char* path, uint16_t bit_count = 24);
rgb32* getPixel(uint32_t x, uint32_t y) const;
void setPixel(rgb32* pixel, uint32_t x, uint32_t y);
uint32_t getWidth() const;
uint32_t getHeight() const;
uint16_t bitCount() const;
};
bitmap::bitmap(const char* path) : bmpInfo(), pixels(nullptr)
{
std::ifstream file(path, std::ios::in | std::ios::binary);
if (file)
{
file.read(reinterpret_cast<char*>(&bmpInfo.bfh), sizeof(bmpInfo.bfh));
if (bmpInfo.bfh.bfType != 0x4d42)
{
throw std::runtime_error("Invalid format. Only bitmaps are supported.");
}
file.read(reinterpret_cast<char*>(&bmpInfo.bih), sizeof(bmpInfo.bih));
if (bmpInfo.bih.biCompression != 0)
{
std::cerr<<bmpInfo.bih.biCompression<<"\n";
throw std::runtime_error("Invalid bitmap. Only uncompressed bitmaps are supported.");
}
if (bmpInfo.bih.biBitCount != 24 && bmpInfo.bih.biBitCount != 32)
{
throw std::runtime_error("Invalid bitmap. Only 24bit and 32bit bitmaps are supported.");
}
file.seekg(bmpInfo.bfh.bfOffBits, std::ios::beg);
pixels = new uint8_t[bmpInfo.bfh.bfSize - bmpInfo.bfh.bfOffBits];
file.read(reinterpret_cast<char*>(&pixels[0]), bmpInfo.bfh.bfSize - bmpInfo.bfh.bfOffBits);
uint8_t* temp = new uint8_t[bmpInfo.bih.biWidth * bmpInfo.bih.biHeight * sizeof(rgb32)];
uint8_t* in = pixels;
rgb32* out = reinterpret_cast<rgb32*>(temp);
int padding = bmpInfo.bih.biBitCount == 24 ? ((bmpInfo.bih.biSizeImage - bmpInfo.bih.biWidth * bmpInfo.bih.biHeight * 3) / bmpInfo.bih.biHeight) : 0;
for (int i = 0; i < bmpInfo.bih.biHeight; ++i, in += padding)
{
for (int j = 0; j < bmpInfo.bih.biWidth; ++j)
{
out->b = *(in++);
out->g = *(in++);
out->r = *(in++);
out->a = bmpInfo.bih.biBitCount == 32 ? *(in++) : 0xFF;
++out;
}
}
delete[] pixels;
pixels = temp;
}
}
bitmap::~bitmap()
{
delete[] pixels;
}
void bitmap::save(const char* path, uint16_t bit_count)
{
std::ofstream file(path, std::ios::out | std::ios::binary);
if (file)
{
bmpInfo.bih.biBitCount = bit_count;
uint32_t size = ((bmpInfo.bih.biWidth * bmpInfo.bih.biBitCount + 31) / 32) * 4 * bmpInfo.bih.biHeight;
bmpInfo.bfh.bfSize = bmpInfo.bfh.bfOffBits + size;
file.write(reinterpret_cast<char*>(&bmpInfo.bfh), sizeof(bmpInfo.bfh));
file.write(reinterpret_cast<char*>(&bmpInfo.bih), sizeof(bmpInfo.bih));
file.seekp(bmpInfo.bfh.bfOffBits, std::ios::beg);
uint8_t* out = NULL;
rgb32* in = reinterpret_cast<rgb32*>(pixels);
uint8_t* temp = out = new uint8_t[bmpInfo.bih.biWidth * bmpInfo.bih.biHeight * sizeof(rgb32)];
int padding = bmpInfo.bih.biBitCount == 24 ? ((bmpInfo.bih.biSizeImage - bmpInfo.bih.biWidth * bmpInfo.bih.biHeight * 3) / bmpInfo.bih.biHeight) : 0;
for (int i = 0; i < bmpInfo.bih.biHeight; ++i, out += padding)
{
for (int j = 0; j < bmpInfo.bih.biWidth; ++j)
{
*(out++) = in->b;
*(out++) = in->g;
*(out++) = in->r;
if (bmpInfo.bih.biBitCount == 32)
{
*(out++) = in->a;
}
++in;
}
}
file.write(reinterpret_cast<char*>(&temp[0]), size); //bmpInfo.bfh.bfSize - bmpInfo.bfh.bfOffBits
delete[] temp;
}
}
rgb32* bitmap::getPixel(uint32_t x, uint32_t y) const
{
rgb32* temp = reinterpret_cast<rgb32*>(pixels);
return &temp[(bmpInfo.bih.biHeight - 1 - y) * bmpInfo.bih.biWidth + x];
}
void bitmap::setPixel(rgb32* pixel, uint32_t x, uint32_t y)
{
rgb32* temp = reinterpret_cast<rgb32*>(pixels);
memcpy(&temp[(bmpInfo.bih.biHeight - 1 - y) * bmpInfo.bih.biWidth + x], pixel, sizeof(rgb32));
};
uint32_t bitmap::getWidth() const
{
return bmpInfo.bih.biWidth;
}
uint32_t bitmap::getHeight() const
{
return bmpInfo.bih.biHeight;
}
uint16_t bitmap::bitCount() const
{
return bmpInfo.bih.biBitCount;
}
void apply_blur(int x, int y, bitmap* bmp, int blurRadius)
{
double blurValue = 0.111;
int r = 0;
int g = 0 ;
int b = 0;
for (int k = y - blurRadius; k <= blurRadius; ++k)
{
for (int l = x - blurRadius; l <= blurRadius; ++l)
{
rgb32* pixel = bmp->getPixel(l, k);
r += blurValue * pixel->r;
g += blurValue * pixel->g;
b += blurValue * pixel->b;
}
}
rgb32 pixel = *bmp->getPixel(x, y);
pixel.r = r;
pixel.g = g;
pixel.b = b;
bmp->setPixel(&pixel, x, y);
}
int main(int argc, const char * argv[])
{
bitmap bmp{"/Users/brandon/Desktop/tiger.bmp"};
bmp.save("/Users/brandon/Desktop/blurred-tiger-24.bmp");
bmp.save("/Users/brandon/Desktop/blurred-tiger-32.bmp", 32);
return 0;
}
Now all you have to do is add your blur algorithm.. I tried it, but couldn't figure out the blurring part.. I ended up porting an algorithm found here: http://blog.ivank.net/fastest-gaussian-blur.html
void blur(bitmap* bmp, int radius)
{
float rs = ceil(radius * 2.57);
for (int i = 0; i < bmp->getHeight(); ++i)
{
for (int j = 0; j < bmp->getWidth(); ++j)
{
double r = 0, g = 0, b = 0;
double count = 0;
for (int iy = i - rs; iy < i + rs + 1; ++iy)
{
for (int ix = j - rs; ix < j + rs + 1; ++ix)
{
auto x = std::min(static_cast<int>(bmp->getWidth()) - 1, std::max(0, ix));
auto y = std::min(static_cast<int>(bmp->getHeight()) - 1, std::max(0, iy));
auto dsq = ((ix - j) * (ix - j)) + ((iy - i) * (iy - i));
auto wght = std::exp(-dsq / (2.0 * radius * radius)) / (M_PI * 2.0 * radius * radius);
rgb32* pixel = bmp->getPixel(x, y);
r += pixel->r * wght;
g += pixel->g * wght;
b += pixel->b * wght;
count += wght;
}
}
rgb32* pixel = bmp->getPixel(j, i);
pixel->r = std::round(r / count);
pixel->g = std::round(g / count);
pixel->b = std::round(b / count);
}
}
}
int main(int argc, const char * argv[])
{
bitmap bmp{"/Users/brandon/Desktop/tiger.bmp"};
blur(&bmp, 5);
bmp.save("/Users/brandon/Desktop/blurred-tiger.bmp");
return 0;
}
The result becomes:
Since iam only applying the blur effect on 24-bitmaps, I add the padding thing and modified my 3th and 4th loop:
for (x = xx; x < bitmapInfoHeader.biWidth && x < xx + blurSize; **x+=3**)
{
for (y = yy; y < bitmapInfoHeader.biHeight && y < yy + blurSize; **y+=3**)
And it works! the photo still have a weard thin line on the left but i think this is a read/write bitmap problem and i can handle it myself :)
The blurred photo: https://ibb.co/iGp9Cb and another blurred picture: https://ibb.co/jFXUCb
Thank you guys for your answers! it helped alot

C++: BMP rotate image

Ok guys, it's the third time I'm posting the same question (previous are here and here).
Now at this time I will try to explain what's my problem:
So first them all, I need to rotate a .bmp image and it's not rotate correctly. But I don't need to rotate a random image with extension .bmp, I need to rotate this one. I've tried with many other images and all of them was rotated correctly, except mine.
In this moment my code it works just for 180-degree, how could make it to works on any degree which is multiple of 90-degree (I need to rotate my image just with 90, 180 or 270 degrees, not more).
I don't need any kind of external library for this code like CImage, OpenCV, ImageMagik and so on... I need to make this code to work.
So yeh, that's it. And here you can find my actual result.
CODE:
#include <array>
using namespace std;
struct BMP {
int width;
int height;
unsigned char header[54];
unsigned char *pixels;
int row_padded;
int size_padded;
};
void writeBMP(string filename, BMP image) {
string fileName = "Output Files\\" + filename;
FILE *out = fopen(fileName.c_str(), "wb");
fwrite(image.header, sizeof(unsigned char), 54, out);
unsigned char tmp;
for (int i = 0; i < image.height; i++) {
for (int j = 0; j < image.width * 3; j += 3) {
//Convert(B, G, R) to(R, G, B)
tmp = image.pixels[j];
image.pixels[j] = image.pixels[j + 2];
image.pixels[j + 2] = tmp;
}
}
fwrite(image.pixels, sizeof(unsigned char), image.size_padded, out);
fclose(out);
}
BMP readBMP(string filename) {
BMP image;
string fileName = "Input Files\\" + filename;
FILE *in = fopen(fileName.c_str(), "rb");
fread(image.header, sizeof(unsigned char), 54, in); // read the 54-byte header
// extract image height and width from header
image.width = *(int *) &image.header[18];
image.height = *(int *) &image.header[22];
image.row_padded = (image.width * 3 + 3) & (~3); // ok size of a single row rounded up to multiple of 4
image.size_padded = image.row_padded * image.height; // padded full size
image.pixels = new unsigned char[image.size_padded]; // yeah !
if (fread(image.pixels, sizeof(unsigned char), image.size_padded, in) == image.size_padded) {
unsigned char tmp;
for (int i = 0; i < image.height; i++) {
for (int j = 0; j < image.width * 3; j += 3) {
//Convert (B, G, R) to (R, G, B)
tmp = image.pixels[j];
image.pixels[j] = image.pixels[j + 2];
image.pixels[j + 2] = tmp;
}
}
}
fclose(in);
return image;
}
BMP rotate(BMP image, double degree) {
BMP newImage = image;
unsigned char *pixels = new unsigned char[image.size_padded];
int height = image.height;
int width = image.width;
for (int x = 0; x < height; x++) {
for (int y = 0; y < width; y++) {
pixels[(x * width + y) * 3 + 0] = image.pixels[((height - 1 - x) * width + (width - 1 - y)) * 3 + 0];
pixels[(x * width + y) * 3 + 1] = image.pixels[((height - 1 - x) * width + (width - 1 - y)) * 3 + 1];
pixels[(x * width + y) * 3 + 2] = image.pixels[((height - 1 - x) * width + (width - 1 - y)) * 3 + 2];
}
}
newImage.pixels = pixels;
return newImage;
}
int main() {
BMP image = readBMP("Input-1.bmp");
image = rotate(image, 180);
writeBMP("Output.bmp", image);
return 0;
}
You have major memory leak. pixels = new unsigned char[size]; must be freed otherwise there is potentially several megabytes leak with every rotation. You have to rewrite the function to keep track of memory allocations.
When you rotate the image by 90 or 270 of the image, the widht/height of image changes. The size may change too because of padding. The new dimension has to be recorded in header file.
In C++ you can use fopen, but std::fstream is preferred.
Here is an example which works in Windows for 24bit images only. In Big-endian systems you can't use memcpy the way I used it below.
Note, this is for practice only. As #datenwolf explained you should use a library for real applications. Most standard libraries such Windows GDI library (basic drawing functions) offer solution for these common tasks.
#include <iostream>
#include <fstream>
#include <string>
#include <Windows.h>
bool rotate(char *src, char *dst, BITMAPINFOHEADER &bi, int angle)
{
//In 24bit image, the length of each row must be multiple of 4
int padw = 4 - ((bi.biWidth * 3) % 4);
if(padw == 4) padw = 0;
int padh = 4 - ((bi.biHeight * 3) % 4);
if(padh == 4) padh = 0;
int pad2 = 0;
if(padh == 1 || padh == 3) pad2 = 2;
bi.biHeight += padh;
int w = bi.biWidth;
int h = bi.biHeight;
if(angle == 90 || angle == 270)
{
std::swap(bi.biWidth, bi.biHeight);
}
else
{
bi.biHeight -= padh;
}
for(int row = 0; row < h; row++)
{
for(int col = 0; col < w; col++)
{
int n1 = 3 * (col + w * row) + padw * row;
int n2 = 0;
switch(angle)
{
case 0: n2 = 3 * (col + w * row) + padw * row; break;
case 90: n2 = 3 * ((h - row - 1) + h * col) + pad2 * col; break;
case 180: n2 = 3 * (col + w * (h - row - 1)) + padw * (h - row - 1); break;
case 270: n2 = 3 * (row + h * col) + pad2 * col; break;
}
dst[n2 + 0] = src[n1 + 0];
dst[n2 + 1] = src[n1 + 1];
dst[n2 + 2] = src[n1 + 2];
}
}
for(int row = 0; row < bi.biHeight; row++)
for(int col = 0; col < padw; col++)
dst[bi.biWidth * 3 + col] = 0;
bi.biSizeImage = (bi.biWidth + padw) * bi.biHeight * 3;
return true;
}
int main()
{
std::string input = "input.bmp";
std::string output = "output.bmp";
BITMAPFILEHEADER bf = { 0 };
BITMAPINFOHEADER bi = { sizeof(BITMAPINFOHEADER) };
std::ifstream fin(input, std::ios::binary);
if(!fin) return 0;
fin.read((char*)&bf, sizeof(bf));
fin.read((char*)&bi, sizeof(bi));
int size = 3 * (bi.biWidth + 3) * (bi.biHeight + 3);
char *src = new char[size];
char *dst = new char[size];
fin.read(src, bi.biSizeImage);
//use 0, 90, 180, or 270 for the angle
if(rotate(src, dst, bi, 270))
{
bf.bfSize = 54 + bi.biSizeImage;
std::ofstream fout(output, std::ios::binary);
fout.write((char*)&bf, 14);
fout.write((char*)&bi, 40);
fout.write((char*)dst, bi.biSizeImage);
}
delete[]src;
delete[]dst;
return 0;
}
The BMP file format is a complicated, convoluted beast and there's no such thing as a "simple" BMP file reader. The code you have there makes certain hard coded assumptions on the files you're trying to read (24bpp true color, tightly packed, no compression) that it will flat (on its face) when it encounters anything that isn't that specific format. Unfortunately, for you, the majority of BMP files out there is not of that kind. To give you an idea of what a fully conforming BMP reader must support have a look at this page:
http://entropymine.com/jason/bmpsuite/bmpsuite/html/bmpsuite.html
And the code you have up there does not even check if there's a valid file magic bytes signature and if the header is valid. So that's your problem right there: You don't have a BMP file reader. You have something that actually spits out pixels if you're lucky enough the feed it something that by chance happens to be in the right format.

LibQREncode qrcode to BMP

I'm creating a qrcode with the library qrencode.h
This creation is working nice but how would one output the qrcode to a BMP file within c++?
At this very moment i have this code:
const char* szSourceSring = QRCODE_TEXT;
unsigned int unWidth, x, y, l, n, unWidthAdjusted, unDataBytes;
unsigned char* pRGBData, *pSourceData, *pDestData;
QRcode* pQRC;
FILE* f;
if (pQRC = QRcode_encodeString(szSourceSring, 4, QR_ECLEVEL_H, QR_MODE_8, 1))
{
unWidth = pQRC->width;
unWidthAdjusted = unWidth * OUT_FILE_PIXEL_PRESCALER * 3;
if (unWidthAdjusted % 4)
unWidthAdjusted = (unWidthAdjusted / 4 + 1) * 4;
unDataBytes = unWidthAdjusted * unWidth * OUT_FILE_PIXEL_PRESCALER;
// Allocate pixels buffer
if (!(pRGBData = (unsigned char*)malloc(unDataBytes)))
{
printf("Out of memory");
}
// Preset to white
memset(pRGBData, 0xff, unDataBytes);
// Prepare bmp headers
BITMAPFILEHEADER kFileHeader;
kFileHeader.bfType = 0x4D42; // "BM"
kFileHeader.bfSize = sizeof(BITMAPFILEHEADER) +
sizeof(BITMAPINFOHEADER) +
unDataBytes;
kFileHeader.bfReserved1 = 0;
kFileHeader.bfReserved2 = 0;
kFileHeader.bfOffBits = sizeof(BITMAPFILEHEADER) +
sizeof(BITMAPINFOHEADER);
BITMAPINFOHEADER kInfoHeader;
kInfoHeader.biSize = sizeof(BITMAPINFOHEADER);
kInfoHeader.biWidth = unWidth * OUT_FILE_PIXEL_PRESCALER;
kInfoHeader.biHeight = -((int)unWidth * OUT_FILE_PIXEL_PRESCALER);
kInfoHeader.biPlanes = 1;
kInfoHeader.biBitCount = 24;
kInfoHeader.biCompression = BI_RGB;
kInfoHeader.biSizeImage = 0;
kInfoHeader.biXPelsPerMeter = 0;
kInfoHeader.biYPelsPerMeter = 0;
kInfoHeader.biClrUsed = 0;
kInfoHeader.biClrImportant = 0;
// Convert QrCode bits to bmp pixels
pSourceData = pQRC->data;
for(y = 0; y < unWidth; y++)
{
pDestData = pRGBData + unWidthAdjusted * y * OUT_FILE_PIXEL_PRESCALER;
for(x = 0; x < unWidth; x++)
{
if (*pSourceData & 1)
{
for(l = 0; l < OUT_FILE_PIXEL_PRESCALER; l++)
{
for(n = 0; n < OUT_FILE_PIXEL_PRESCALER; n++)
{
*(pDestData + n * 3 + unWidthAdjusted * l) = PIXEL_COLOR_B;
*(pDestData + 1 + n * 3 + unWidthAdjusted * l) = PIXEL_COLOR_G;
*(pDestData + 2 + n * 3 + unWidthAdjusted * l) = PIXEL_COLOR_R;
}
}
}
pDestData += 3 * OUT_FILE_PIXEL_PRESCALER;
pSourceData++;
}
}
// Output the bmp file
/*if (((f = fopen(OUT_FILE, "r")) != NULL))
{*/
f = fopen(OUT_FILE, "wb");
fwrite(&kFileHeader, sizeof(BITMAPFILEHEADER), 14, f);
fwrite(&kInfoHeader, sizeof(BITMAPINFOHEADER), 40, f);
fwrite(pRGBData, sizeof(unsigned char), unDataBytes, f);
fclose(f);
/* }
else
{
printf("Unable to open file");
}
*/
// Free data
free(pRGBData);
QRcode_free(pQRC);
}
else
{
printf("NULL returned");
}
But somehow this creates a BMP with corrupt headers. Whenever i'm opening the bmp file it says:
"BMP Image has unsupported header size"
What am i doing wrong?
And is it possible to save to png instead of BMP?
I have access to the libPNG library
Here is a code example which dumps a 24 bpp bmp file created from a QR-Code. The error you see is probably not caused by the QR-Code library, but rather something in the bmp file code.
The bmp file created by this example works fine with the image viewer packaged with my Windows 8.1. If you also do not see the error, you could check for differences in each binary output to pinpoint the problem. If you want.
This question is tagged "C++" and "C++11", so this example uses the C++ std library for file output, and doesn't use malloc. (But almost equally bad -- I use new and delete in some container code, where a std::vector member is preferred...don't tell anyone). Also, this example writes each piece of data directly to the file, instead of using a file-sized intermediate buffer, like pDestData.
#include <iostream>
#include <fstream>
// A fake (or "somewhat limited") QR Code data container
struct Qrc {
int dimsize; // the width and height
unsigned char* data; // buffer which contains the elements
Qrc() {
static const unsigned int bin[] = { // encodes an important secret message
0xfc8b7d7f,0xa801a83,0xd6e54d76,0xaa9eb2ed,0x43ed05db,0xb8786837,0x55555fe0,
0x5a4c807f,0xcf315c00,0x6e8019ce,0xc7819e0d,0xd4857ba8,0x4ac5e347,0xf6f349ba,
0xd433ccdd,0x2998361e,0x4453fab3,0x526d9085,0x81f38924,0xb4da0811,0x84b3131a,
0x9639915e,0x3b74a4ff,0x42aa0c11,0x4127be16,0x1f4350,0xff620296,0xad54de1,
0xd38c2272,0xa3f76155,0x5366a7ab,0x9bdd2257,0x300d5520,0x85842e7f,0 };
dimsize = 33;
data = new unsigned char[dimsize * dimsize];
auto p = data;
auto endp = p + dimsize * dimsize;
for(unsigned int b : bin) {
for(int i=0; i<32; ++i) {
if(p == endp) break;
*(p++) = b & (1 << i) ? 255 : 0;
} } }
Qrc(const Qrc&) = delete;
Qrc& operator = (const Qrc&) = delete;
~Qrc() { delete [] data; }
};
struct BIH { // a private definition of BITMAPINFOHEADER
unsigned int sz;
int width, height;
unsigned short planes;
short bits;
unsigned int compress, szimage;
int xppm, yppm;
unsigned int clrused, clrimp;
};
void SaveBmp(const char* filename, const Qrc& qrc) {
// Asker's Qrc struct delivered as a pointer, from a C API, but this example doesn't mimic that.
std::ofstream ofs(filename, std::ios_base::out | std::ios_base::binary);
if(!ofs) {
std::cout << "Writing " << filename << " failed\n";
return;
}
const int side_len = qrc.dimsize; // width and height of the (square) QR Code
const int pixel_side_len = 4; // QRC element's size in the bmp image (in pixels)
const int bmp_line_bytes = side_len * pixel_side_len * 3;
const int bmp_line_pad_bytes = (4 - bmp_line_bytes % 4) % 4; // bmp line data padding size
const int bmp_data_size = side_len * (bmp_line_bytes + bmp_line_pad_bytes);
BIH bih = { sizeof(bih) };
bih.width = side_len * pixel_side_len; // element count * element size
bih.height = -side_len * pixel_side_len; // negative height => data begins at top of image
bih.planes = 1;
bih.bits = 24;
const int header_size = sizeof(bih) + 14; // size of the bmp file header
const int filesize = header_size + bmp_data_size; // size of the whole file
ofs.write("BM", 2);
ofs.write(reinterpret_cast<const char*>(&filesize), 4);
ofs.write("\0\0\0\0", 4); // 2x 16-bit reserved fields
ofs.write(reinterpret_cast<const char*>(&header_size), 4);
ofs.write(reinterpret_cast<const char*>(&bih), sizeof(bih));
// pixel colors, as Blue, Green, Red char-valued triples
// the terminating null also makes these usable as 32bpp BGRA values, with Alpha always 0.
static const char fg_color[] = "\0\0\0";
static const char bg_color[] = "\xff\xff\xff";
auto pd = qrc.data;
// send pixel data directly to the bmp file
// QRC elements are expanded into squares
// whose sides are "pixel_side_len" in length.
for(int y=0; y<side_len; ++y) {
for(int j=0; j<pixel_side_len; ++j) {
auto pdj = pd;
for(int x=0; x<side_len; ++x) {
for(int i=0; i<pixel_side_len; ++i) {
// *pdj will be 0 or 255 (from "fake" Qrc)
// Using "*pdj & 1" here, just to match asker's code
// without knowing why this was done.
ofs.write(*pdj & 1 ? fg_color : bg_color, 3);
}
++pdj;
}
if(bmp_line_pad_bytes) {
ofs.write("\0\0\0", bmp_line_pad_bytes);
}
}
pd += side_len;
}
}
int main() {
SaveBmp("MyQrCode.bmp", Qrc());
}

Performant Way to create checkerboard pattern

So I have an image that I want to overlay with a checkerboard pattern.
This is what I have come up with so far:
for ( uint_8 nRow = 0; nRow < image.width(); ++nRow)
for (uint_8 nCol = 0; nCol < image.height(); ++nCol)
if(((nRow/20 + nCol/20) % 2) == 0)
memset(&image.data[nCol + nRow], 0, 1);
Produces a white image unfortunately. I dont think this is very performant because memset is called for every single pixel in the image instead of multiple.
Why does this code not produce a chckerboard pattern? How would you improve it?
For better performance, don't treat the image as a 2-dimensional entity. Instead, look at it as a 1D array of continuous data, where all lines of the image are arranged one after the other.
With this approach, you can write the pattern in one go with a single loop, where in every iteration you memset() multiple adjacent pixels and increase the index by twice the amount of pixels you set:
int data_size = image.width() * image.height();
for (auto it = image.data; it < image.data + data_size; it += 20) {
memset(it, 0, 20);
if (((it - data) + 40) % (20 * 400) == 0) {
it += 40;
} else if (((it - data) + 20) % (20 * 400) != 0) {
it += 20;
}
}
(Replace auto with the type of image.data if you're not using C++11; I suspect it's unsigned char*.)
This is quite friendly for the CPU cache prefetch. It's also friendly for the compiler, which can potentially vectorize and/or perform loop unrolling.
If you have an image's dimensions which are multiple of the checker square size :
(I coded in C but it is fairly easy to transpose to C++)
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#define uint unsigned int
#define WIDTH 40
#define HEIGHT 40
#define BLOCK_SIZE 5
void create_checker_row(uint* row, uint size_block, uint nb_col, uint offset )
{
uint ic;
for (ic = size_block*offset ; ic < nb_col; ic+= 2*size_block )
{
memset( (row + ic) , 0, size_block*sizeof(uint) );
}
}
int main()
{
uint ir,ic;
// image creation
uint* pixels = (uint*) malloc(WIDTH*HEIGHT*sizeof(uint));
for (ir = 0; ir < WIDTH; ir++)
{
for ( ic = 0; ic < HEIGHT; ic++)
{
// arbitrary numbers
pixels[ir*WIDTH + ic] = (ir*WIDTH + ic) % 57 ;
printf("%d,", pixels[ir*WIDTH + ic] );
}
printf("\n");
}
for (ir = 0; ir < WIDTH; ir++)
{
create_checker_row( pixels + ir*WIDTH , // pointer at the beggining of n-th row
BLOCK_SIZE , // horizontal length for square
WIDTH , // image width
(ir/BLOCK_SIZE) % 2 // offset to create the checker pattern
);
}
// validation
printf("\n");
printf("Validation \n");
printf("\n");
for (ir = 0; ir < WIDTH; ir++)
{
for ( ic = 0; ic < HEIGHT; ic++)
{
printf("%d,", pixels[ir*WIDTH + ic] );
}
printf("\n");
}
return 0;
}
Seems pretty checkered for me : http://ideone.com/gp9so6
I use this and stb_image_write.h
#include <stdlib.h>
#include <stb_image_write.h>
int main(int argc, char *argv[])
{
const int w = 256, h = 256, ch = 4, segments = 8, box_sz = w / segments;
unsigned char rgba_fg[4] = {255, 255, 0, 255}; //yellow
unsigned char rgba_bg[4] = {255, 0, 0, 255}; //red
unsigned char* data = calloc(w * h * ch, sizeof(unsigned char));
int swap = 0;
int fill = 0; /* set to 1 to fill fg first*/
unsigned char* col = NULL;
for(int i = 0; i < w * h; i++)
{
if(i % (w * box_sz) == 0 && i != 0)
swap = !swap;
if(i % box_sz == 0 && i != 0)
fill = !fill;
if(fill)
{
if(swap)
col = rgba_bg;
else
col = rgba_fg;
}else
{
if(swap)
col = rgba_fg;
else
col = rgba_bg;
}
for(int j = 0; j < ch; j++)
{
data[i*ch + j] = col[j];
}
}
stbi_write_png("checker.png", w, h, ch, data, 0);
free(data);
return 0;
}
Its a bit slow with large images but gets the job done if you cache them