Thesis Details
HDR Image Artifact Compensation
This thesis deals with a synthesis of high dynamic range imaging (HDRI). HDRI technology is becoming increasingly popular in recent years. A standard and most common approach to obtain an HDR image is a multiple exposures fusion that consists of combining multiple images of the same scene captured with different exposure times. This technique works perfectly only on static scenes. However, if there is a motion in the scene during a sequence acquisition, a resultant HDR image contains ghosting artefacts due to moving objects in the captured scene. Basic information about HDRI are presented in this thesis. The main focus is given to de-ghosting methods that are reviewed and two of them - a bitmap movement detection based on a median threshold and a histogram based ghost detection - are presented as suitable techniques for a real-time video capturing and implementation on FPGA (Field-Programmable Gate Array) architecture. These two methods are implemented in C++ programming language as prototypes. Moreover, a modification of histogram-based ghost detection is proposed, implemented and discussed to simplify its implementation on FPGA architecture.
HDR image, de-ghosting, ghost artifact, FPGA, real-time HDR, HDR video
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Šlapal Josef, prof. RNDr., CSc. (DADM FME BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
@mastersthesis{FITMT17832, author = "V\v{e}ra M{\"{u}}llerov\'{a}", type = "Master's thesis", title = "HDR Image Artifact Compensation", school = "Brno University of Technology, Faculty of Information Technology", year = 2015, location = "Brno, CZ", language = "english", url = "https://www.fit.vut.cz/study/thesis/17832/" }