Convert YUV to BGR/RGB in OpenCV

├Źndice
  1. Introduction
  2. What is YUV?
  3. Converting YUV to BGR/RGB
  4. Conclusion

Introduction

If you are working on an image or video processing project using OpenCV, you may come across the need to convert YUV image format to BGR or RGB image format. In this article, I will explain how to convert YUV to BGR/RGB in OpenCV.

What is YUV?

YUV is a color encoding system used in video and digital image processing, representing brightness and color information separately. Y is the luma component, representing brightness, while U and V are the chroma components, representing color information.

Converting YUV to BGR/RGB

To convert YUV to BGR/RGB in OpenCV, you can make use of the cvtColor() function. The cvtColor() function is used to convert an image from one color space to another.

Here's an example code snippet that converts a YUV image to BGR:


import cv2
 
# Load the YUV image
img_yuv = cv2.imread('yuv_image.jpg', cv2.IMREAD_UNCHANGED)
 
# Convert YUV to BGR
img_bgr = cv2.cvtColor(img_yuv, cv2.COLOR_YUV2BGR)
 
# Display the BGR image
cv2.imshow('BGR Image', img_bgr)
cv2.waitKey(0)
cv2.destroyAllWindows()

In the code above, we first load the YUV image using the imread() function. Then, we use the cvtColor() function to convert the YUV image to BGR. Finally, we display the BGR image using the imshow() function.

If you want to convert YUV to RGB instead of BGR, simply replace COLOR_YUV2BGR with COLOR_YUV2RGB in the cvtColor() function.

Conclusion

In this article, we have seen how to convert YUV to BGR/RGB in OpenCV using the cvtColor() function. Converting between different color spaces is an important aspect of image and video processing, and OpenCV provides a wide range of functions for this purpose.

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