Evaluation of the visual performance of image processing pipes: information value of subjective image attributes

Nyman, Göte; Häkkinen, Jukka; Koivisto, Eero-Matti; Leisti, Tuomas; Lindroos, Paul; Orenius, Olli; Virtanen, Toni; Vuori, Tero

doi:10.1117/12.839946

Cited by 9 publications

(17 citation statements)

References 6 publications

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“…The viewers were instructed that −3 means "very bad" or "not natural," 0 is "mediocre", and 3 stands for "very good" or "very natural." Moreover, the viewers were asked to estimate the limit of sufficient quality [26] with a line on the general image quality scale after viewing each test sequence. This value estimated the minimum subjective rating over which the quality was acceptable for the viewers.…”

Section: Test Setupmentioning

confidence: 99%

Subjective quality assessment of asymmetric stereoscopic 3D video

Aflaki

Hannuksela

Gabbouj

2013

SIViP

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In asymmetric stereoscopic video compression, the views are coded with different qualities. According to the binocular suppression theory, the perceived quality is closer to that of the higher-fidelity view. Hence, a higher compression ratio is potentially achieved through asymmetric coding. Furthermore, when mixed-resolution coding is applied, the complexity of the coding and decoding is reduced. In this paper, we study whether asymmetric stereoscopic video coding achieves the mentioned claimed benefits. Two sets of systematic subjective quality evaluation experiments are presented in the paper. In the first set of the experiments, we analyze the extent of downsampling for the lower-resolution view in mixed-resolution stereoscopic videos. We show that the lower-resolution view becomes dominant in the subjective quality rating at a certain downsampling ratio, and this is dependent on the sequence, the angular resolution, and the angular width. In the second set of the experiments, we compare symmetric stereoscopic video coding, qualityasymmetric stereoscopic video coding, and mixed-resolution coding subjectively. We show that in many cases, mixedresolution coding achieves a similar subjective quality to that

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Section: Test Setupmentioning

confidence: 99%

Subjective quality assessment of asymmetric stereoscopic 3D video

Aflaki

Hannuksela

Gabbouj

2013

SIViP

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“…8 Previous studies on image quality with free description exist but are based on fever set observers and stimuli. Such as 14 observers rating 8 scenes, 23 29 observers rating 8 scenes, 24,25 48 observers rating 4 scenes, 22 and 61 observers rating 17 scenes. 26 Excluding movement and sound, video quality has also significant overlap with image quality evaluations when using free descriptions.…”

Section: Introductionmentioning

confidence: 99%

Image quality wheel

Virtanen

Nuutinen

2019

J. Electron. Imag.

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We have collected a large dataset of subjective image quality "*nesses," such as sharpness or colorfulness. The dataset comes from seven studies and contains 39,415 quotations from 146 observers who have evaluated 62 scenes either in print images or on display. We analyzed the subjective evaluations and formed a hierarchical image quality attribute lexicon for *nesses, which is visualized as image quality wheel (IQ-Wheel). Similar wheel diagrams for attributes have become industry standards in other sensory experience fields such as flavor and fragrance sciences. The IQ-Wheel contains the frequency information of 68 attributes relating to image quality. Only 20% of the attributes were positive, which agrees with previous findings showing a preference for negative attributes in image quality evaluation. Our results also show that excluding physical attributes of paper gloss, observers then use similar terminology when evaluating images with printed images or images viewed on a display. IQ-Wheel can be used to guide the selection of scenes and distortions when designing subjective experimental setups and creating image databases.

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“…Figure 3 presents the average values and the 95% confidence interval (CI) of the image quality ratings. Furthermore, it displays the average limit of sufficient quality [11], which did not vary very much between sequences. It can be seen that the FR stereoscopic video sequences outperformed the MR sequences in all test cases.…”

Section: Test Proceduresmentioning

confidence: 99%

Impact of downsampling ratio in mixed-resolution stereoscopic video

Aflaki

Hannuksela

Häkkinen

et al. 2010

2010 3dtv-Conference: The True Vision - Capture, Transmission and Display of 3D Video

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In mixed-resolution (MR) stereoscopic video, one of the views has a lower resolution compared to the other one, hence providing means for improved compression. The underlying assumption in MR stereoscopic video is that the human visual system fuses the left and right views in such a way that the perceived image quality is close to that of the higher-resolution view. This paper describes a subjective quality evaluation experiment with uncompressed MR stereoscopic video, in which the aim was to discover the approximate limit of the downsampling ratio where the perceived quality is still close to the quality of the higher view. Different downsampling ratios, namely 1/2, 3/8, and 1/4 along both coordinate axes, were tested. The threshold of the higher-resolution view being dominant in the perceived quality lied in between downsampling ratios 1/2 and 3/8, corresponding to 11.4 and 7.6 pixels per degree of viewing angle, respectively. At downsampling ratios 3/8 and 1/4, the perceived quality linearly correlated with the average luma peak signal-to-noise ratio of the lower-resolution view.Index Terms -Mixed-resolution stereoscopic video, asymmetric stereoscopic video, binocular suppression

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Evaluation of the visual performance of image processing pipes: information value of subjective image attributes

Cited by 9 publications

References 6 publications

Subjective quality assessment of asymmetric stereoscopic 3D video

Subjective quality assessment of asymmetric stereoscopic 3D video

Image quality wheel

Impact of downsampling ratio in mixed-resolution stereoscopic video

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