An Objective Deghosting Quality Metric for HDR Images

Date

2016-05-01

Author

TURSUN, Okan Tarhan
Akyüz, Ahmet Oğuz
Erdem, Aykut
Erdem, Erkut

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

153
views

0
downloads

Reconstructing high dynamic range (HDR) images of a complex scene involving moving objects and dynamic backgrounds is prone to artifacts. A large number of methods have been proposed that attempt to alleviate these artifacts, known as HDR deghosting algorithms. Currently, the quality of these algorithms are judged by subjective evaluations, which are tedious to conduct and get quickly outdated as new algorithms are proposed on a rapid basis. In this paper, we propose an objective metric which aims to simplify this process. Our metric takes a stack of input exposures and the deghosting result and produces a set of artifact maps for different types of artifacts. These artifact maps can be combined to yield a single quality score. We performed a subjective experiment involving 52 subjects and 16 different scenes to validate the agreement of our quality scores with subjective judgements and observed a concordance of almost 80%. Our metric also enables a novel application that we call as hybrid deghosting, in which the output of different deghosting algorithms are combined to obtain a superior deghosting result.

Subject Keywords

Categories and Subject Descriptors (according to ACM CCS), I, 4, 8 [Image Processing and Computer Vision]: Scene AnalysisMotion

URI

https://hdl.handle.net/11511/40610

Journal

COMPUTER GRAPHICS FORUM

DOI

https://doi.org/10.1111/cgf.12818

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

An experimental evaluation of visual similarity for HDR images Aydinlilar, Merve; Akyüz, Ahmet Oğuz; Tarı, Zehra Sibel (2021-07-01) In this paper, we investigate visual similarity for high dynamic range (HDR) images. We collect crowdsourcing data through a web-based experimental interface, in which the participants are asked to choose one of the two candidate images as being more similar to the query image. Triplets forming the query-and-candidates sets are obtained by random sampling from existing HDR data sets. Experimental control factors include choice of tone mapping operator (TMO), choice of distance metric, and choice of image fe...
Deep joint deinterlacing and denoising for single shot dual-ISO HDR reconstruction Çoğalan, Uğur; Akyüz, Ahmet Oğuz; Department of Computer Engineering (2019) HDR (High Dynamic Range) images have traditionally been obtained by merging multiple exposures each captured with a different exposure time. However, this approach entails longer capture times and necessitates deghosting if the captured scene contains moving objects. With the advent of modern camera sensors that can perform per-pixel exposure modulation, it is now possible to capture all of the required exposures within a single shot. The new challenge then becomes how to best combine different pixels with ...
A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images SİKUDOVA, Elena; POULİ, Tania; ARTUSİ, Alessandro; Akyüz, Ahmet Oğuz; BANTERLE, Francesco; Mazlumoglu, Zeynep Miray; REİNHARD, Erik (2016-07-01) An integrated gamut- and tone-management framework for color-accurate reproduction of high dynamic range images can prevent hue and luminance shifts while taking gamut boundaries into consideration. The proposed approach is conceptually and computationally simple, parameter-free, and compatible with existing tone-mapping operators.
Accelerating Translational Image Registration for HDR Images on GPU Alpay, Kadir Cenk; Temizel, Alptekin (null; 2020-10-09) High Dynamic Range (HDR) images are generated using multiple exposures of a scene. When a hand-held camera is used to capture a static scene, these images need to be aligned by globally shifting each image in both dimensions. For a fast and robust alignment, the shift amount is commonly calculated using Median Threshold Bitmaps (MTB) and creating an image pyramid. In this study, we optimize these computations using a parallel processing approach utilizing GPU. Experimental evaluation shows that the proposed...
Noise reduction in high dynamic range imaging Akyüz, Ahmet Oğuz (Elsevier BV, 2007-10-01) A common method to create high dynamic range (HDR) images is to combine several different exposures of the same scene. In this approach, the use of higher ISO settings will reduce exposure times, and thereby the total capture time. This is advantageous in certain environments where it may help minimize ghosting artifacts. However, exposures taken at high sensitivity settings tend to be noisy, which is further amplified by the HDR creation algorithm. We present a robust and efficient technique to significant...

Citation Formats

O. T. TURSUN, A. O. Akyüz, A. Erdem, and E. Erdem, “An Objective Deghosting Quality Metric for HDR Images,” COMPUTER GRAPHICS FORUM, pp. 139–152, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40610.