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Recently, we are able to watch 3D videos or movies increasingly without glasses. However, they are various stereological and evaluation methods for multi-view 3D with no glasses for image quality, and their display methods are not unified. In this paper, we showed 3D CG images with 8 viewpoints lenticular lens method by ACR and DSIS methods, when w...
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Citations
... There have been many studies on the subjective evaluation of the 3D image or video quality [7]- [12]. However, to the best of our knowledge, there have been no reports on the relationship between luminance and coded degradation. ...
... When we displayed a 3D image on the 3D display, we performed a realtime parallax mix automatically by using a media player provided by Newsight Corporation [17]. Further, on the basis of the experimental results reported in [12], we defined Perceptible, but not annoying 3 ...
Previously, it is not obvious to what extent was accepted for the assessors when we see the 3D image (including multi-view 3D) which the luminance change may affect the stereoscopic effect and assessment generally. We think that we can conduct a general evaluation, along with a subjective evaluation, of the luminance component using both the S-CIELAB color space and CIEDE2000. In this study, first, we performed three types of subjective evaluation experiments for contrast enhancement in an image by using the eight viewpoints parallax barrier method. Next, we analyzed the results statistically by using a support vector machine (SVM). Further, we objectively evaluated the luminance value measurement by using CIEDE2000 in the S-CIELAB color space. Then, we checked whether the objective evaluation value was related to the subjective evaluation value. From results, we were able to see the characteristic relationship between subjective assessment and objective assessment.
... We then discuss classification of the assessors by cluster analysis and consider the relations among different image content. Finally, conclusions as well as suggestions for future work are provided in Section 5. Here, this paper is included improvement based on contents of our international conference proceedings 18), 19) , and technical reports 4),5) . In detail, we added statistical analysis and discussions for the experimental results. ...
Recently, the use of 3D video systems without glasses has increased, and therefore 3D image quality and presence evaluation is important. There are various stereo-logical image quality evaluation methods for multi-view 3D systems without glasses. However, there is no uniform method for evaluating 3D video systems. In this study, we focus on camera interval and JPEG coding degradation with a multi-view 3D system. Previously, many studies have examined camera interval or JPEG coding degradation with 3D glasses or the binocular method. In such systems, viewers perceive stereoscopic and depth effects. Moreover, they can see from different angles, increasing viewpoints with multi-view 3D systems. However, viewers feel discomfort when changing their viewpoint. Hence, we consider, in particular, the accommodation of the camera interval and JPEG coding degradation while changing viewpoints. We have performed subjective evaluations using the absolute category rating system to assess the effects of changing the camera interval of 3D CG images or video content using an 8 viewpoint lenticular lens method. We measure assessors' ability to identify the degree of the camera interval. We analyze the results of our subjective evaluations statistically and discuss the results. Using the optimal camera interval, we perform a subjective quality evaluation employing the double stimulus impairment scale to determine assessors' ability to identify JPEG coding degradation by degree. The experimental results of this subjective evaluation are also statistically analyzed.
... When we displayed a 3D image on the 3D display, we performed real-time parallax mix automatically using a media player provided by Newsight Corporation [18]. Furthermore, we defined the CG camera interval based on the ex periment results reported in [19]. In this experiments, first, we displayed reference image A for 10 seconds, and then mid-gray image G for 3 seconds. ...
Previously, we studied about multi-view 3D CG image quality evaluation including visible digital watermarking by regions. As a result, it becomes clear that there was the mutual relationship between the watermarking by regions and the coded image quality for the multi-view 3D image. However, it is not clear that there is the relation between two focus points whether background region is color or gray scale. On the other hand, it is possible for assessors to focus on the object mutually by using gray scale for the background region of an image. Therefore, in case the background region is gray scale, we need to clear the relation among the gray scale background, the watermarking by regions, and the coded image quality by evaluating for the multi-view 3D CG image quality including the watermarking by regions. In this paper, first, we carried out the subjective quality assessment of 3D CG images including visible digital watermarking by regions with 8 viewpoints parallax barrier method. From results, we analyzed and classified the evaluation values statistically for the image region and the coded image quality by Support Vector Machine (SVM). On the other hand, we measured the luminance for the generated images by using S-CIELAB color space, and we also measured the color difference by using CIEDE2000. We carried out the objective assessments by these measurements, and compared to subjective assessment mutually.
... When we displayed a 3D image on the 3D display, we performed real-time parallax mix automatically using a media player provided by Newsight Corporation [16]. Furthermore, we defined the CG camera interval based on the experiment results reported in [17]. Figure 6 shows the presentation order and image sequence time for the experiment (DSIS: Double Stimulus Impairment Scale). ...
... This cycle was defined as one set, and we repeated the cycle until the last set. When the assessors performed the subjective evaluation for longer than 30 minutes, they suffered from accumulated fatigue (such as visual fatigue) [17][18][19]. Therefore, when the subjective evaluation time was longer than 30 minutes, we divided the assessors' subjective evaluation time into intervals of several seconds each. ...
Thus far, we have studied multi-view 3D image quality evaluation, including visible digital watermarking, in the case of considering coded degradation, region, resistance, and number of viewpoints. As a result, the more we process watermarking in the low frequency domain, the more the assessment tends toward independence from image or video patterns. However, we do not consider color information in the case where we generate digital watermarking images. In this paper, first, for the 3D CG images encoded and decoded by H.265/HEVC with 8 Viewpoints Parallax Barrier Method, we process the wavelet transformation, and perform embedding for the arrangement of the high and low frequency domain (LL3, HL3, LH3) in the same frequency level per viewpoint. Next, we evaluate the generated image, analyze the results, and classify for RGB pattern and coded degradation using SVM (Support Vector Machine).
... When we presented a 3D image in 3D display, we performed the real-time parallax mix automatically using a media player provided by Newsight Corporation. Following the experimental results reported in [4], we defined the CG camera interval as 0.25. Here, the camera's interval parameter is shown as the percentage of the camera's interval, which we denote by p, defined as follows, and as shown in Fig. 7. ...
Many previous studies on image quality assessment of 3D still images or video clips have been conducted. In particular, it is important to know the region in which assessors are interested or on which they focus in images or video clips, as represented by the ROI (Region of Interest). For multi-view 3D images, it is obvious that there are a number of viewpoints; however, it is not clear whether assessors focus on objects or background regions. It is also not clear on what assessors focus depending on whether the background region is colored or gray scale. Furthermore, while case studies on coded degradation in 2D or binocular stereoscopic videos have been conducted, no such case studies on multi-view 3D videos exist, and therefore, no results are available for coded degradation according to the object or background region in multi-view 3D images. In addition, in the case where the background region is gray scale or not, it was not revealed that there were affection for gaze point environment of assessors and subjective image quality. In this study, we conducted experiments on the subjective evaluation of the assessor in the case of coded degradation by JPEG coding of the background or object or both in 3D CG images using an eight viewpoint parallax barrier method. Then, we analyzed the results statistically and classified the evaluation scores using an SVM.
... CG camera interval is 0.25 from [9]. ...
In this paper, we processed the contrast enhancement for multi-view 3D image, therefore, we changed luminance. Next, we generated image by composing each view image by coding H.265/HEVC. Then, we carried out the subjective evaluation about generating image. On the other hand, we evaluated objectively about luminance value measurement by using color difference (such as CIEDE2000) in S-CIELAB color space. We considered whether the objective evaluation value related to the subjective evaluation value or not. Finally, we analyzed their results statistically using a Support Vector Machine (SVM).
... There were many studies about the subjective evaluation of 3D image or video quality [6][7][8][9][10]. However, the studies for the luminance and the coded degradation, which is not reported previously. ...
... When we presented a 3D image in 3D display, we performed the real-time parallax mix automatically using a media player provided by Newsight Corporation. Following the experimental results reported in [9], we defined the CG camera interval. Figure 5 shows the presentation order and image sequence time in the experiment (Double Stimulus Impairment Scale: DSIS). ...
In this paper, we processed the contrast enhancement for multi-view 3D image, therefore, we changed luminance. Next, we generated image by composing each view image by coding H.265/HEVC. Then, we carried out the subjective evaluation about generating image. On the other hand, we evaluated objectively about luminance value measurement by using color difference (such as CIEDE2000) in S-CIELAB color space. We considered whether the objective evaluation value related to the subjective evaluation value or not. Finally, we analyzed their results statistically using a Support Vector Machine (SVM).
... There were many studies about the subjective evaluation of 3D image or video quality [6] - [11]. However, the studies for the luminance and the coded degradation, which is not reported previously. ...
Previously, there were many studies about the image quality evaluation based on S-CIELAB color space including the spatial frequency characteristics of human vision system. It is not obvious to what extent was accepted for the assessors when we see the 3D image which the luminance change may affect the stereoscopic effect and assessment generally. Similarly, it is not obvious when we see the multi-view 3D image. As represented by ROI (Region Of Interest), it is important where the assessors are interested in or focused on the part of the 3D image when they see the 3D image. Seeing the content creators, we consider that they create expecting for users to focus on the object region than the background region. Therefore, we considered that we need to verify by subjective evaluation experiment to what extent was not interfered with regard to the contrast enhancement and the coded degradation. Furthermore, we consider that we are able to become to carry out the general evaluation for the luminance component using both S-CIELAB color space and CIEDE2000, in addition to the subjective evaluation. In this paper, first, we carried out the subjective evaluation experiment for the contrast enhancement of the object region in an image with 8 viewpoints parallax barrier method. Next, we analyzed their results statistically using a Support Vector Machine (SVM). On the other hand, we evaluated objectively about luminance value measurement using CIEDE2000 in S-CIELAB color space. We considered whether the objective evaluation value related to the subjective evaluation value or not.
... There were many studies about the subjective evaluation of 3D image or video quality [6]- [11]. ...
... CG camera interval is 0.25 from [11]. ...
Previously, there were many studies about the image quality evaluation based on S-CIELAB color space including the spatial frequency characteristics of human vision system. It is not obvious to what extent was accepted for the assessors when we see the 3D image which the luminance change may affect the stereoscopic effect and assessment generally. Similarly, it is not obvious when we see the multi-view 3D image. As represented by ROI (Region Of Interest), it is important where the assessors are interested in or focused on the part of the 3D image when they see the 3D image. Seeing the content creators, we consider that they create expecting for users to focus on the object region than the background region. Therefore, we considered that we need to verify by subjective evaluation experiment to what extent was not interfered with regard to the contrast enhancement and the coded degradation. Furthermore, we consider that we are able to become to carry out the general evaluation for the luminance component using both S-CIELAB color space and CIEDE2000, in addition to the subjective evaluation. In this paper, first, we carried out the subjective evaluation experiment for the contrast enhancement of the object region in an image with 8 viewpoints parallax barrier method. Next, we analyzed their results statistically using a Support Vector Machine (SVM). On the other hand, we evaluated objectively about luminance value measurement using CIEDE2000 in S-CIELAB color space. We considered whether the objective evaluation value related to the subjective evaluation value or not.
... When we present 3D image on 3D display, we present carrying out the real-time parallax mix automatically by using media player in Newsight Corporation. From experimental result of [8], we defined CG camera interval as 0.25. Camera's interval parameter is showed by percentage of camera's interval. ...
Until now, there have been many studies about image quality for multi-viewpoint 3D images. Particularly, as represented by ROI (Region Of Interest), it becomes important that users are interested in or focused on what region or area. Also, in the multi-viewpoint 3D still images, it's not clearly that users focused on objects or background in their images since there are many viewpoints. Until now, there were the case studies considered about the coded degradation for 2D videos, binocular 3D videos. However, there were not case studies for multi-viewpoint 3D, and their results were not cleared. In this paper, we demonstrated image quality assessment in the case of occurring the coded degradation for objects or background region with 8 viewpoints parallax barrier method, and we analyzed experimental results.
