scholarly journals Improved Light Field Compression Efficiency through BM3D-Based Denoising Using Inter-View Correlation

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2919
Author(s):  
You-Na Jin ◽  
Chae-Eun Rhee
Keyword(s):  
Quality Of Experience ◽  
Light Field ◽  
Structural Characteristics ◽  
Temporal Correlation ◽  
Display Device ◽  
Immersive Virtual Reality ◽  
Compression Efficiency ◽  
Image Capturing ◽  
And Performance

Multi-view or light field images have recently gained much attraction from academic and commercial fields to create breakthroughs that go beyond simple video-watching experiences. Immersive virtual reality is an important example. High image quality is essential in systems with a near-eye display device. The compression efficiency is also critical because a large amount of multi-view data needs to be stored and transferred. However, noise can be easily generated during image capturing, and these noisy images severely deteriorate both the quality of experience and the compression efficiency. Therefore, denoising is a prerequisite to produce multi-view-based image contents. In this paper, the structural characteristics of linear multi-view images are fully utilized to increase the denoising speed and performance as well as to improve the compression efficiency. Assuming the sequential processes of denoising and compression, multi-view geometry-based denoising is performed keeping the temporal correlation among views. Experimental results show the proposed scheme significantly improves the compression efficiency of denoised views up to 76.05%, maintaining good denoising quality compared to the popular conventional denoise algorithms.

Quality of experience measurement for light field 3D displays on multilayer LCDs

2016 ◽  
Vol 24 (12) ◽  
pp. 726-740 ◽  
Author(s):  
Shizheng Wang ◽  
Kien Seng Ong ◽  
Phil Surman ◽  
Junsong Yuan ◽  
Yuanjin Zheng ◽  
...  
Keyword(s):  
Quality Of Experience ◽  
Light Field ◽  
3D Displays

scholarly journals Disruptions to shared mental models from poor quality of service in collaborative virtual environments

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nicholas Milef ◽  
Adam Ryason ◽  
Di Qi ◽  
Samuel O. Alfred ◽  
Cullen D. Jackson ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Virtual Environments ◽  
Task Performance ◽  
Mental Model ◽  
Quality Of Experience ◽  
Poor Quality ◽  
Collaborative Virtual Environments ◽  
User Interactions ◽  
And Performance

AbstractCollaborative virtual environments are being used in various applications ranging from online games to complex team training scenarios. The key to the success of such environments is the ability of the participants to form a shared mental model of the collaborative task being performed. Poor quality of service can deteriorate user performance and quality of experience, leading to a disruption of this mental model. While the effects of quality of service have been analyzed for traditional desktop environments, these effects remain unclear in collaborative virtual environments during user-to-user interactions. Here, we analyze the role of latency and packet bursts, two common problems in collaborative applications, on both simulator perception and actual task performance in a collaborative fire-fighting simulator. This exploratory study indicates that large latencies have a significant (p < 0.05) impact on the quality of experience, but not task performance. In contrast, packet bursts have a much larger impact on both the quality of experience and performance. Additionally, the network role, such as whether a user is a client or server, showed a significant (p < 0.05) impact on task performance in conditions impaired by packet bursts.

Quality of Experience for Video Services

2010 ◽  
pp. 258-273
Author(s):  
Marcio Nieblas Zapater ◽  
Graça Bressan
Keyword(s):  
Quality Assurance ◽  
Performance Measures ◽  
Network Performance ◽  
Quality Of Experience ◽  
Ip Networks ◽  
End User ◽  
Services Delivery ◽  
Video Services ◽  
And Performance

This chapter discusses the quality assurance of multimedia services over IP networks from the end user standpoint and introduces the concept of quality of experience (QoE). The discussion of quality assurance includes aspects that range from the network and application layers to the end user perspective. The focus of the discussion presented in this chapter is oriented to the video services delivery that can be considered a significant evolution of services providers’ portfolio. This chapter presents quality requirements for video and TV services and performance measures that focuses on the quality perceived by the end user. This approach is broader than that oriented to quality of service (QoS), which focuses on the performance measures from the network perspective. QoE takes into account how well a service meet customers goals and expectations rather than focusing only on the network performance.

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