Srujan's profile - activity

Thanks a lot for your answer.

100x100 RGB image effectively has 3x100x100 bytes which when converted to YUV results in 3x100x100 bytes. Instead when this is converted to YUV2 (aka YUYV), this results in 4x100x100 bytes. And doubling the size of this image horizontally and vertically requires 4x(2x100)x(2x100). How do you get 150x100 and consequently 300x200?

Also, how do you plot this newImg?

I am writing a scaling algorithm for YUV422 packed format images (without any intermediate conversions to RGB or grayscale or what have you). As can be seen in the below image from MSDN, the 4:2:2 format has 2 Luma bytes for each chroma byte. My test bench involves procuring images from the iSight camera using OpenCV APIs, converting them to YUV (CV_BGR2YUV) and then resizing them. The questions I have are:

1. I am posting sample data (from OpenCV's Mat's pointer to raw data) for reference below straight from the memory dump, how do I identify by looking at the data as to what is the Y component and what the UV components are? 15 8B 7A 17 8A 7A 18 8A 7B 17 89 7A 19 89 79 19
2. Is this bilinear interpolation algorithm correct? Let's say, my box is TOP ROW: Y00, U00, Y01, Y02, V00, Y03; BOTTOM ROW: Y10, U10, Y11, Y12, V10, Y13. Then the final pixels would be interpolated from: (Y00, Y01, Y10, Y11), (U00, U10, 0, 0), (Y02, Y03, Y12, Y13), (0, 0, V00, V10). That forms my first two YUYV pixels of 32 bits.

Any references to principles of performing bilinear interpolation on YUYV images would be very helpful! Thanks in advance.

C:\fakepath\IC500902.png

Isn't it true that the BGR image is 3 channel, 24 bits per pixel and padded with additional 8 bits to make it 32-bits per pixel? How is the YCrCb image representation done? It would be 3 channel (2 for Y, 1 for Cr and 1 for Cb), but would it be 24-bits per pixel or 32-bits per pixel? What exact member variable of converted_image matrix be different from original_image matrix?