Objective and subjective evaluation of light field image compression algorithms

Viola, Irene; Řeřábek, Martin; Bruylants, Tim; Schelkens, Peter; Pereira, Fernando; Ebrahimi, Touradj

doi:10.1109/pcs.2016.7906379

Cited by 43 publications

(31 citation statements)

References 9 publications

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“…The goal was to collect new compression solutions for LF images, and to evaluate them using both objective and subjective quality assessment methodologies [4]. The Grand Challenge, however, had some limitations.…”

Section: Light Field Image Quality Evaluationmentioning

confidence: 99%

“…The views are color and gamma corrected and then converted back to YUV 420. A subset of them is then rearranged in a specific coding order, that accounts for similarities between adjacent views, and coded using the JEM encoder 4 . In the decompression step, the views are rearranged in the 4D LF.…”

Section: Hybrid Compression Of Lenslet Imagesmentioning

confidence: 99%

“…The central view of each content used is depicted in Figure 5. The images were carefully selected from those used in the ICME 2016 Grand Challenge [4] in order to provide a wide range of scenarios, containing details that would prove challenging for the compression algorithms. To obtain the 4D LF, the lenslet images were processed using the LF MATLAB toolbox [37] [38].…”

Section: A Dataset Preparation and Coding Conditionsmentioning

confidence: 99%

“…In the past, the authors have used single viewpoint image visualization to assess the visual quality of LF contents [4]. However, this type of assessment is suboptimal for two main reasons.…”

Section: Introductionmentioning

confidence: 99%

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Comparison and Evaluation of Light Field Image Coding Approaches

Viola

Řeřábek

Ebrahimi

2017

IEEE J. Sel. Top. Signal Process.

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Abstract-The recent advances in light field imaging, supported among others by the introduction of commercially available cameras e.g. Lytro or Raytrix, are changing the ways in which visual content is captured and processed. Efficient storage and delivery systems for light field images must rely on compression algorithms. Several methods to compress light field images have been proposed recently. However, in-depth evaluations of compression algorithms have rarely been reported. This paper aims at evaluation of perceived visual quality of light field images and at comparing the performance of a few state of the art algorithms for light field image compression. First, a processing chain for light field image compression and decompression is defined for two typical use cases, professional and consumer. Then, five light field compression algorithms are compared by means of a set of objective and subjective quality assessments. An interactive methodology recently introduced by authors, as well as a passive methodology is used to perform these evaluations. The results provide a useful benchmark for future development of compression solutions for light field images.

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Section: Light Field Image Quality Evaluationmentioning

confidence: 99%

Section: Hybrid Compression Of Lenslet Imagesmentioning

confidence: 99%

Section: A Dataset Preparation and Coding Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison and Evaluation of Light Field Image Coding Approaches

Viola

Řeřábek

Ebrahimi

2017

IEEE J. Sel. Top. Signal Process.

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“…Their effort focuses on the relationship between watermark strength and visual quality. In their previous work, the authors evaluate compression solution through objective and subjective quality assessment, in the framework of ICME 2016 Grand Challenge [2]. The evaluation is performed on several viewpoints extracted from LF contents and displayed as still images alongside with their uncompressed references, using a methodology based on Double Stimulus Continuous Quality Scale (DSCQS).…”

Section: Introductionmentioning

confidence: 99%

Impact of interactivity on the assessment of quality of experience for light field content

Viola

Řeřábek

Ebrahimi

2017

2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)

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Abstract-The recent advances in light field imaging are changing the way in which visual content is captured, processed and consumed. Storage and delivery systems for light field images rely on efficient compression algorithms. Such algorithms must additionally take into account the feature-rich rendering for light field content. Therefore, a proper evaluation of visual quality is essential to design and improve coding solutions for light field content. Consequently, the design of subjective tests should also reflect the light field rendering process. This paper aims at presenting and comparing two methodologies to assess the quality of experience in light field imaging. The first methodology uses an interactive approach, allowing subjects to engage with the light field content when assessing it. The second, on the other hand, is completely passive to ensure all the subjects will have the same experience. Advantages and drawbacks of each approach are compared by relying on statistical analysis of results and conclusions are drawn. The obtained results provide useful insights for future design of evaluation techniques for light field content.

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Angularly continuous light‐field format: Concept, implementation, and evaluation

et al. 2019

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In this paper, we present the concept, the implementation, and the evaluation of our novel angularly continuous light-field format. We compared the subjective visual performance of our format with the perspective camera format through a series of subjective and objective tests. In our extensive subjective study, we used multiple absolute and comparative rating scales and various visual stimuli with different contents and angular resolutions. The perceived quality was assessed by a total of 36 test participants, who were separated based on their scientific expertise. The objective quality was evaluated through the degradations caused by three well-known compression methods. The obtained results indicate that our light-field format may outperform the conventional format, and it generally can provide at least equivalent visual quality. Furthermore, these findings open the way for data size optimization, without compromising the achieved level of perceived quality.

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Objective and subjective evaluation of light field image compression algorithms

Cited by 43 publications

References 9 publications

Comparison and Evaluation of Light Field Image Coding Approaches

Comparison and Evaluation of Light Field Image Coding Approaches

Impact of interactivity on the assessment of quality of experience for light field content

Angularly continuous light‐field format: Concept, implementation, and evaluation

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