yuv

How to find out resolution and count of frames in YUV 4:2:0 file if i know how many pixel(luma samples) in the image? YUV 4:2:0 planar looks like this: ---------------------- | Y | Cb|Cr | ---------------------- where: Y = width x height pixels (bytes) Cb = Y / 4 pixels (bytes) Cr = Y / 4 pixels (bytes) Total num pixels (bytes) = width * height * 3 / 2 This is how pixels are placed in 4:2:0 sub-sampling: As you can see, each chroma value is shared between 4 luma-pixels. Basically, the only thing you can do is to see which frame-sizes divides the total file-size evenly. As an example, consider

The formula says: Y = 0.299 * R + 0.587 * G + 0.114 * B; U = -0.14713 * R - 0.28886 * G + 0.436 * B; V = 0.615 * R - 0.51499 * G - 0.10001 * B; What if, for example, the U variable becomes negative? U = -0.14713 * R - 0.28886 * G + 0.436 * B; Assume maximum values for R and G (ones) and B = 0 So, I am interested in implementing this convetion function in OpenCV, So, how to deal with negative values? Using float image? anyway please explain me, may be I don't understand something.. You can convert RGB<->YUV in OpenCV with cvtColor using the code CV_YCrCb2RGB for YUV->RGB and CV_RGBYCrCb for RGB

all Does anybody know details about QOMX_COLOR_FormatYUV420PackedSemiPlanar64x32Tile2m8ka format, it's the output format of qcom 7x30 h/w decoder, how data is stored in such color format? thanks Denbian This is my research on this, about QOMX_COLOR_FormatYUV420PackedSemiPlanar64x32Tile2m8ka converting to YUV420Planar (I420) . As far as QOMX_COLOR_FormatYUV420PackedSemiPlanar64x32Tile2m8ka format is concerned, you can refer to ($your_android_native_sdk_dir)/WORKING_DIRECTORY/hardware/qcom/media/mm-core/inc/QOMX_IVCommonExtensions.h source code. This function might idealy support generic

How to perform RGB->YUV conversion in C/C++? I have some Bitmap.. RGB I need to convert it to YUV Libs? Tuts? Articles? ImageMagick ? You might also want to try these integer only calculations (should be faster than floats) #define CLIP(X) ( (X) > 255 ? 255 : (X) < 0 ? 0 : X) // RGB -> YUV #define RGB2Y(R, G, B) CLIP(( ( 66 * (R) + 129 * (G) + 25 * (B) + 128) >> 8) + 16) #define RGB2U(R, G, B) CLIP(( ( -38 * (R) - 74 * (G) + 112 * (B) + 128) >> 8) + 128) #define RGB2V(R, G, B) CLIP(( ( 112 * (R) - 94 * (G) - 18 * (B) + 128) >> 8) + 128) // YUV -> RGB #define C(Y) ( (Y) - 16 ) #define D(U) ( (U