How to load png images with 4 channels?

Question

I have been trying to load .png files with transparency channel (RGB and Alph) with no luck. It appears that openCV strips the 4th channel out of the image. Is there any met

Answer 1

The best possible way to load a png image with all 4 channels is ;

img= cv2.imread('imagepath.jpg',negative value)

As per openCV documentation,
If Flag value is,
1) =0 Return a grayscale image.
2) <0 Return the loaded image as is (with alpha channel).

Answer 2

According to the documentation, OpenCV supports alpha channel on PNGs.

Just call the imread function using CV_LOAD_IMAGE_UNCHANGED as flags like this:

cvLoadImage("file.png", CV_LOAD_IMAGE_UNCHANGED)

Answer 3

If you are using OpenCV 2 or OpenCV 3 you should use IMREAD_* flags (as mentioned at here).

C++

using namespace cv;
Mat image = imread("image.png", IMREAD_UNCHANGED);

Python

import cv2
im = cv2.imread("image.png", cv2.IMREAD_UNCHANGED)

Answer 4

If you wanna draw this transparent image over another image, open your image as answered by @satya-mallick, then use this method:

/**
 * @brief Draws a transparent image over a frame Mat.
 * 
 * @param frame the frame where the transparent image will be drawn
 * @param transp the Mat image with transparency, read from a PNG image, with the IMREAD_UNCHANGED flag
 * @param xPos x position of the frame image where the image will start.
 * @param yPos y position of the frame image where the image will start.
 */
void drawTransparency(Mat frame, Mat transp, int xPos, int yPos) {
    Mat mask;
    vector<Mat> layers;

    split(transp, layers); // seperate channels
    Mat rgb[3] = { layers[0],layers[1],layers[2] };
    mask = layers[3]; // png's alpha channel used as mask
    merge(rgb, 3, transp);  // put together the RGB channels, now transp insn't transparent 
    transp.copyTo(frame.rowRange(yPos, yPos + transp.rows).colRange(xPos, xPos + transp.cols), mask);
}

Answer 5

The right way to read a transparent PNG is to use the 4th channel as alpha channel. Most of the times one wants a white background, if that is the case then below code can be used for alpha compositing.

def read_transparent_png(filename):
    image_4channel = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
    alpha_channel = image_4channel[:,:,3]
    rgb_channels = image_4channel[:,:,:3]

    # White Background Image
    white_background_image = np.ones_like(rgb_channels, dtype=np.uint8) * 255

    # Alpha factor
    alpha_factor = alpha_channel[:,:,np.newaxis].astype(np.float32) / 255.0
    alpha_factor = np.concatenate((alpha_factor,alpha_factor,alpha_factor), axis=2)

    # Transparent Image Rendered on White Background
    base = rgb_channels.astype(np.float32) * alpha_factor
    white = white_background_image.astype(np.float32) * (1 - alpha_factor)
    final_image = base + white
    return final_image.astype(np.uint8)

A detailed blog on this is here here.