Master Thesis - Video Motion deblurring through image segmentation and deconvolution

Master Thesis - Video Motion deblurring through image segmentation and deconvolution

Job Description

Category

Security, image processing, Python programming, OpenCV

Scope

2 students completing a master

Introduction

Motion blur is usually an issue in surveillance cameras specially in low light scenes where camera's shutter needs to remain open for a longer time to capture enough light for a properly exposed image. When there is a limitation on the exposure time, the image sensor quality and the illumination in the scene, post-processing deblurring will be a cost-effective solution that helps with the accuracy of the object detection algorithms. Mathematically, the blur in an image is described by a Point Spread Function (PSF) that is convolved with the true image. The aim of this thesis is to find an accurate measurement of the PSF of motion blurred scenes and investigate how this can be realistically introduced into Axis cameras.

Background

The approach that has been initiated at Fixed dome cameras involves the estimates of the motion blur kernel (PSF) by detecting the angle and the length of the motion and the deconvolution using functions from OpenCV package in Python. The motion blur kernel estimate from the frame-by-frame differences partially works to deblur the non-uniform blurry moving scene; however, we aim to develop a robust algorithm that can identify the blur kernel for each pixel, segment the image based on these kernels, and ultimately restore the image through deconvolution methods.

Goals

Investigate and develop an algorithm for post-processing deblurring. This includes:

• Finding a method to estimate the PSF for a non-uniform blurry image
• Restore the image using deconvolution methods
• Apply this to videos from Axis cameras as a proof of concept

Educational background

Master students in Physics, Computer science engineering or similar.

Useful skills

Python programming, Experience with OpenCV, image segmentation

OK, I am interested! What do I do now?
You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.

• Applications are accepted in both Swedish and English, and you apply via the proposal advert.
• The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program.
• When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us.
• Please attach your CV and University/College grade summary.

More information

For more information, contact: Niloofar Esmaeildoost [email protected] and Alexander Björling [email protected]

Type of EmploymentTemporary Employment (Fixed Term)

Posting End Date2025-01-14

Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.

About Axis Communications

We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.

With around 4500 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.

Let´s create a smarter, safer world

For more information about Axis, please visit our website www.axis.com.

Listen to Get To Know Axis – Podcast