planar2raw

Combine planar sensor images into full Bayer pattern CFA

Since R2021a

Syntax

cfa = planar2raw(I)

Description

cfa = planar2raw(I) combines the individual sensor element images, stored as channels of the input image I, into a complete Bayer pattern color filter array (CFA) image, cfa.

Examples

Combine Sensor Data into Complete CFA Image

Read RAW image data into the workspace.

cfa = rawread("colorCheckerTestImage.NEF");

Create an image with individual channels for each sensor in the CFA image.

rggb = raw2planar(cfa);

Convert the image with separate channels for each sensor into a complete CFA image.

cfaFull = planar2raw(rggb);

Input Arguments

I — Image with channel for each sensor element

M-by-N-by-4 numeric array

Image with a channel for each sensor element, specified as an M-by-N-by-4 numeric array.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64

Output Arguments

cfa — CFA image

(2*M)-by-(2*N) numeric matrix

CFA image, returned as a (2*M)-by-(2*N) numeric matrix of the same class as I.

planar2raw constructs the CFA image by placing I(:,:,1) starting at cfa(1,1), placing I(:,:,2) starting at cfa(1,2), placing I(:,:,3) starting at cfa(2,1), and placing I(:,:,4) starting at cfa(2,2).

Extended Capabilities

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

Version History

Introduced in R2021a

R2022b: Support for thread-based environments

planar2raw now supports thread-based environments.