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Report: State-of-the-Art DE-ghosting Algorithms for High Dynamic Range Imaging

Kanita Karadjuzovic-Hadziabdic, Jasminka Hasić-Telalović
2013 Southeast Europe Journal of Soft Computing  
of Engineering and Natural Sciences, HrasnickaCesta 15, Bosnia and Herzegovina Abstract High Dynamic Range Imaging (HDRI) may be generated by combining multiple low dynamic range (LDR) images of the same  ...  High texture motion scene: Table 3 . shows HDR images of a scene that includes high texture motion and small motion displacement.  ... 
doi:10.21533/scjournal.v2i2.35 fatcat:jslq4maivbbotb2aav7pootjee

CED: Color Event Camera Dataset

Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert Mahony, Davide Scaramuzza
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Event cameras offer advantages over conventional framebased cameras in terms of latency, high dynamic range (HDR) and temporal resolution.  ...  Finally, we present an evaluation of three state-of-the-art image reconstruction methods that can be used to convert the Color-DAVIS346 into a continuous-time, HDR, color video camera to visualise the  ...  Further, event reconstructed images have the potential to retain desirable qualities of event cameras, such as high dynamic range, high temporal resolution and immunity to motion blur.  ... 
doi:10.1109/cvprw.2019.00215 dblp:conf/cvpr/ScheerlinckRSBM19 fatcat:llef4vgw25ho3cwuqmm2vghyky

Quanta Burst Photography [article]

Sizhuo Ma, Shantanu Gupta, Arin C. Ulku, Claudio Bruschini, Edoardo Charbon, Mohit Gupta
2020 arXiv   pre-print
signal-to-noise ratio (SNR), and high dynamic range.  ...  We demonstrate, via a recently developed SPAD array, that the proposed method is able to generate high-quality images for scenes with challenging lighting, complex geometries, high dynamic range and moving  ...  Reconstructing high dynamic range scenes. Fig. 15 shows a high dynamic range scene captured by the SPAD array.  ... 
arXiv:2006.11840v1 fatcat:phnzzcpugvc5dm55yr5zjdz4ca

CED: Color Event Camera Dataset [article]

Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen, Nick Barnes, Robert Mahony, Davide Scaramuzza
2019 arXiv   pre-print
Event cameras offer advantages over conventional frame-based cameras in terms of latency, high dynamic range (HDR) and temporal resolution.  ...  Finally, we present an evaluation of three state-of-the-art image reconstruction methods that can be used to convert the Color-DAVIS346 into a continuous-time, HDR, color video camera to visualise the  ...  Further, event reconstructed images have the potential to retain desirable qualities of event cameras, such as high dynamic range, high temporal resolution and immunity to motion blur.  ... 
arXiv:1904.10772v1 fatcat:rq47wb3eg5ekfhlftq77qc6qkm

Motion Aware Exposure Bracketing for HDR Video

Yulia Gryaditskaya, Tania Pouli, Erik Reinhard, Karol Myszkowski, Hans-Peter Seidel
2015 Computer graphics forum (Print)  
In this context we present an algorithm that allows such devices to capture high dynamic range (HDR) video.  ...  The design of the algorithm was informed by a perceptual study that assesses the relative importance of motion and dynamic range.  ...  the scene's dynamic range is captured with high fidelity.  ... 
doi:10.1111/cgf.12684 fatcat:335cmx6xojgifdb4bjgs6qdshu

Reducing the Sim-to-Real Gap for Event Cameras [article]

Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert Mahony
2020 arXiv   pre-print
This makes them ideal for high speed, high dynamic range scenes where conventional cameras would fail.  ...  A challenge in evaluating event based video reconstruction is lack of quality ground truth images in existing datasets.  ...  In addition, our HQF covers a wider range of motions and scene types than the evaluation dataset used for E2VID, including: static/dynamic camera motion vs. dynamic camera only, very slow to fast vs. medium  ... 
arXiv:2003.09078v5 fatcat:ljp4cxhb5bhx3e2cm65or2wp2e

Rate-Distortion Optimized Compression Of High Dynamic Range Videos

Chang-Su Kim, Chul Lee
2008 Zenodo  
Their algorithm first obtains a lower dynamic range (LDR) image from an input HDR image using a tone-mapping scheme.  ...  While the dynamic ranges of conventional display devices are less than two orders of magnitude, real world scenes have much higher dynamic ranges.  ... 
doi:10.5281/zenodo.40793 fatcat:rau7quexinad5d4njbgcqn5qoy

Visual Tracking under Fast Motions with an Event Camera

Irene Pérez Salesa, Rodrigo Aldana López, Carlos Sagüés Blázquiz
2022 Jornada de Jóvenes Investigadores del I3A  
Visual object tracking under fast motions can be hindered by conventional cameras, which are prone to producing blurry images.  ...  The sequences include challenging conditions such as fast motions, low light and high dynamic range, as well as background events due to camera motion.  ...  Conventional cameras tend to produce frames with motion blur, on which the detection task might fail. Event cameras show low latency, high dynamic range and robustness to motion blur.  ... 
doi:10.26754/jjii3a.20226997 fatcat:adrtw24ctbevbild7lt5rctvnu

Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks

Lin Wang, I.S. Mohammad Mostafavi, Yo-Sung Ho, Kuk-Jin Yoon
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
The usefulness of event cameras to generate high dynamic range (HDR) images even in extreme illumination conditions and also non blurred images under rapid motion is also shown.  ...  Event cameras have a lot of advantages over traditional cameras, such as low latency, high temporal resolution, and high dynamic range.  ...  We also showed it is possible to generate high dynamic range images even in extreme illumination conditions and also non-blurred images under rapid motion.  ... 
doi:10.1109/cvpr.2019.01032 dblp:conf/cvpr/WangIHY19 fatcat:spl2vmsjqrd6xja274nwexpgwi

Frequency-Selective Computed Tomography: Applications During Periodic Thoracic Motion

Jacob Herrmann, Eric A. Hoffman, David W. Kaczka
2017 IEEE Transactions on Medical Imaging  
The four-dimensional image sequences obtained using this frequency-selective reconstruction technique yielded high spatio-temporal resolution of the thorax during periodic motion.  ...  In this study, we propose an acquisition and reconstruction technique for high resolution imaging of the thorax during periodic motion.  ...  This may limit the quality of images during dynamic subject motion, especially for deformations at high frequencies.  ... 
doi:10.1109/tmi.2017.2694887 pmid:28436852 pmcid:PMC5639881 fatcat:ykqprullp5eyhdpdeasavejqsa

Dynamic Low-light Imaging with Quanta Image Sensors [article]

Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan
2020 arXiv   pre-print
Studies over the past decade have confirmed the effectiveness of QIS for low-light imaging but reconstruction algorithms for dynamic scenes in low light remain an open problem.  ...  We show that dynamic scenes can be reconstructed from a burst of frames at a photon level of 1 photon per pixel per frame.  ...  Various prototype QIS have been reported, and numerous studies have confirmed their capability for high speed imaging [3] , high dynamic range imaging [4] , [5] , color imaging [6] , [7] , and tracking  ... 
arXiv:2007.08614v1 fatcat:tbtsrkvf4nf3zf7m4ejzigc2ky

Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks [article]

S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon
2018 arXiv   pre-print
The usefulness of event cameras to generate high dynamic range(HDR) images even in extreme illumination conditions and also non blurred images under rapid motion is also shown.In addition, the possibility  ...  Event cameras have a lot of advantages over traditional cameras, such as low latency, high temporal resolution, and high dynamic range.  ...  We also showed it is possible to generate high dynamic range images even in extreme illumination conditions and also non-blurred images under rapid motion.  ... 
arXiv:1811.08230v1 fatcat:h5uazun7irdvvponl6e7nkpyaq

Real-time three-dimensional MRI for the assessment of dynamic carpal instability

Calvin B. Shaw, Brent H. Foster, Marissa Borgese, Robert D. Boutin, Cyrus Bateni, Pattira Boonsri, Christopher O. Bayne, Robert M. Szabo, Krishna S. Nayak, Abhijit J. Chaudhari, Jennifer S. Wayne
2019 PLoS ONE  
Our objectives were to (i) develop a real-time, three-dimensional MRI method to image the carpal joints during their active, uninterrupted motion; and (ii) demonstrate feasibility of the method for assessing  ...  only during the wrist's active motion or stress.  ...  involving larger ranges of wrist motion.  ... 
doi:10.1371/journal.pone.0222704 pmid:31536561 pmcid:PMC6752861 fatcat:kjcdfxipcvc7dlznpn6kriq3aq

Events-to-Video: Bringing Modern Computer Vision to Event Cameras [article]

Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2019 arXiv   pre-print
They have significant advantages over conventional cameras: high temporal resolution, high dynamic range, and no motion blur.  ...  Our experiments show that our approach surpasses state-of-the-art reconstruction methods by a large margin (> 20%) in terms of image quality.  ...  Yet systems based on conventional cameras fail in challenging conditions such as high-speed motions or high-dynamic-range environments.  ... 
arXiv:1904.08298v1 fatcat:ghuuriurgfhlxf6de6jthdv7ke

Dense Depth and Color Acquisition of Repetitive Motions

Yi Xu, Daniel G. Aliaga
2007 3-D Digital Imaging and Modeling  
Modeling dynamic scenes is a challenging problem faced by applications such as digital content generation and motion analysis.  ...  At the same time, color samples are reconstructed by matching images illuminated using white light to those using structured-light patterns.  ...  Acknowledgement The authors would like to thank the reviewers for their comments and Haiqiong Li for performing the motion.  ... 
doi:10.1109/3dim.2007.20 dblp:conf/3dim/XuA07 fatcat:a2ne5irxgbfthbt2l3bysiv4qe
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