ycbcr2rgb

Convert YCbCr color values to RGB color space

Syntax

RGB = ycbcr2rgb(YCBCR)

Description

RGB = ycbcr2rgb(YCBCR) converts the luminance (Y) and chrominance (Cb and Cr) values of a YCbCr image to red, green, and blue values of an RGB image.

Examples

Convert Image from YCbCr to RGB

This example shows how to convert an image from RGB to YCbCr color space and back.

Read an RGB image into the workspace.

RGB = imread('board.tif');

Convert the image to YCbCr color space.

YCBCR = rgb2ycbcr(RGB);

Convert the YCbCr image back to RGB color space.

RGB2 = ycbcr2rgb(YCBCR);

Display the luminance channel of the image in YCbCr color space alongside the image that was converted from YCbCr to RGB color space.

figure
subplot(1,2,1)
imshow(YCBCR(:,:,1))
title('Original Luminance (Y)');
subplot(1,2,2)
imshow(RGB2);
title('Image Converted to RGB');

Input Arguments

YCBCR — YCbCr color values

numeric array

YCbCr color values to convert, specified as a numeric array in one of these formats.

• c-by-3 colormap. Each row specifies one YCbCr color value.

• m-by-n-by-3 image.

Data Types: single | double | uint8 | uint16

Output Arguments

RGB — Converted RGB color values

numeric array

Converted RGB color values, returned as a numeric array of the same size as the input. The output data type is the same as the input data type.

References

[1] Poynton, C. A. A Technical Introduction to Digital Video, John Wiley & Sons, Inc., 1996, p. 175.

[2] Rec. ITU-R BT.601-5, Studio Encoding Parameters of Digital Television for Standard 4:3 and Wide-screen 16:9 Aspect Ratios, (1982-1986-1990-1992-1994-1995), Section 3.5.

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• ycbcr2rgb supports the generation of C code (requires MATLAB^® Coder™). Note that if you choose the generic MATLAB Host Computer target platform, ycbcr2rgb generates code that uses a precompiled, platform-specific shared library. Use of a shared library preserves performance optimizations but limits the target platforms for which code can be generated. For more information, see Types of Code Generation Support in Image Processing Toolbox.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

This function fully supports GPU arrays. For more information, see Image Processing on a GPU.

Version History

Introduced before R2006a