Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)
DOI: 10.1109/icip.2000.900878
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Human perception of mismatched stereoscopic 3D inputs

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Cited by 51 publications
(34 citation statements)
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“…In this case, the PSNR of the synthesized view (PCC=0.4489) has a significantly lower correlation than the average PSNR of the decoded and synthesized views (PCC=0.8502) or the PSNR of the decoded view (PCC=0.9216). Second, content S07 1 . For this content, the PSNR of the decoded view (PCC=0.9219) expresses perceptual quality significantly better than the PSNR of the synthesized view (PCC=0.3788) or the PSNR of the intermediate view (PCC=0.1119).…”
Section: Resultsmentioning
confidence: 99%
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“…In this case, the PSNR of the synthesized view (PCC=0.4489) has a significantly lower correlation than the average PSNR of the decoded and synthesized views (PCC=0.8502) or the PSNR of the decoded view (PCC=0.9216). Second, content S07 1 . For this content, the PSNR of the decoded view (PCC=0.9219) expresses perceptual quality significantly better than the PSNR of the synthesized view (PCC=0.3788) or the PSNR of the intermediate view (PCC=0.1119).…”
Section: Resultsmentioning
confidence: 99%
“…Stelmach et al [1] have shown that for stereo pairs composed of an original view and a low pass filtered view, the perceived quality is closer to that of the original view. A similar behavior has been reported for pairs formed from an original view and a horizontally downsampled view.…”
Section: Introductionmentioning
confidence: 99%
“…The binocular suppression theory of the human visual system (HVS) is widely accepted, which assumes that the perceived 3D quality is constructed by the domination of the higher quality view [2][3][4][5][6]. The theory can be exploited in stereo video encoding to reach the best stereo rate-visual distortion (RD) performance.…”
Section: Introductionmentioning
confidence: 99%
“…Stelmach et al [3] first started to study the ways of asymmetric coding and the quality assessment thereof. In [4], they compared low-pass filtering with discrete cosine transform (DCT)-based quantization and reported that in a low-pass filtering experiment, the mean quality scores were close to the individual scores of the unfiltered reference view. On the other hand, in a quantization experiment, the image quality scores turned out to be an approximate average of the individual scores of the reference and auxiliary views.…”
Section: Introductionmentioning
confidence: 99%
“…Most compression schemes worked on the data present in the image in the form of repetitions. For example, alphanumeric characters are normally represented by a 7-bit ASCII code, but when we apply a compression process then only 3-bit code is required to represent the eight most common letters [5]. Here the main concept is to replace a particular thing in the image which repeatedly occurs with the number of its appearances.…”
mentioning
confidence: 99%