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Revision as of 18:00, 2 October 2013 by kiran10182 (Talk | contribs)

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How to add multithread support to your Qt application

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This article explains how to use multi-threading on Qt, using the context of the QHdrCamera for the explanation.

Article Metadata
Tested with
Devices(s): Nokia C7-00, Nokia N8, Nokia N950
Keywords: Thread, QThread, QRunnable, QThreadPool
Created: galazzo (21 May 2012)
Last edited: kiran10182 (02 Oct 2013)



Note.pngNote: This is an entry in the PureView Imaging Competition 2012Q2

QHdrCamera is a QML component for creating High Dynamic Range images. The component captures three photos at different exposure ranges and combines the best-exposed regions in each using appropriate algorithms (see QHdrCamera component for High Dynamic Range Imaging for more information).

The original single-threaded implementation first captured and saved all the images and then loaded them and started calculation of the HDR image. This was very slow, primarily because of the time taken to save and load images on some hardware.

Part of the solution to this problem has been to use multi-threading: as soon as the first image is saved we now start loading and processing it. As much of the loading and processing is now concurrent with image capture, the total execution time is much reduced.

The solution provided uses QRunnable interface and QThreadPool class.

Multithread Image Loading

QRunnable is an interface class for new threads - all you need to do is implement its run() function with the code that can be run concurrently. The runnable objects are added to the QThreadPool which allows the QRunnable objects to be re-used (this is more efficient than creating multiple threads).

The first step is to implement the QRunnable interface:

class LoadingThread : public QRunnable
LoadingThread(QString*, QImage*);
QString* path;
QImage* image;
void run();
LoadingThread::LoadingThread(QString* path, QImage* image){
this->path = path;
this->image = image;
void LoadingThread::run() {
if( image->load(*path) ){
qDebug() << "Image loaded";
} else {
qDebug() << "Error during image loading " << *path;


The QML Camera component provides the onImageSaved ( path ) signal, called after the image has been written to the filesystem, in this context connected to setShot slots. Here we create the LoadingThread to start memory loading process in the background.

void QHdrCamera::setShot1(QString path) {
if( !QFile::rename(path, QDir::toNativeSeparators(s_shot1)) ) {
qDebug() << "Impossible to rename shot1:" << path;
} else {
LoadingThread* tLoad = new LoadingThread(&s_shot1, &shot1);
emit savedShot1();
void QHdrCamera::setShot2(QString path) {
if( !QFile::rename(path, s_shot2) ) {
qDebug() << "Impossible to rename shot2";
} else {
LoadingThread* tLoad = new LoadingThread(&s_shot2, &shot2);
emit savedShot2();
void QHdrCamera::setShot3(QString path) {
if( !QFile::rename(path, s_shot3) ){
qDebug() << "Impossible to rename shot3";
} else {
LoadingThread* tLoad = new LoadingThread(&s_shot3, &shot3);
emit savedShot3();

The application has to wait until all threads finish their jobs. QThreadPool provides a method called waitForDone() that does that.



Multi-threading has enormously improved the performance of the QHdrCamera QML component by allowing the long running image save/load and initial processing steps to be carried out concurrently with image capture using the camera. Not only is the total execution time reduced, but the perceived behaviour is also better because the UI remains responsive to user input during calculation.

While multi-threading might not always provide a "real" improvement in execution time it is very useful in cases like this, where the different tasks don't need to use the same resources at the same time. Even where the total execution time remains the same, threading should be considered for its benefit of keeping the UI responsive.

Using a QThreadPool and QRunnable is an efficient way to implement multi-threading on Qt as threads are created when needed and can be re-used.

This page was last modified on 2 October 2013, at 18:00.
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