Abstract
Three-dimensional television (3DTV) technology is becoming increasingly popular, as it can provide high quality and immersive experience to end users. Stereoscopic imaging is a technique capable of recoding 3D visual information or creating the illusion of depth. Most 3D compression schemes are developed for stereoscopic images including applying traditional two-dimensional (2D) compression techniques, and considering theories of binocular suppression as well. The compressed stereoscopic content is delivered to customers through communication channels. However, both compression and transmission errors may degrade the quality of stereoscopic images. Subjective quality assessment is the most accurate way to evaluate the quality of visual presentations in either 2D or 3D modality, even though it is time-consuming. This chapter will offer an introduction to related issues in perceptual quality assessment for stereoscopic images. Our results are a subjective quality experiment on stereoscopic images and focusing on four typical distortion types including Gaussian blurring, JPEG compression, JPEG2000 compression, and white noise. Furthermore, although many 2D image quality metrics have been proposed that work well on 2D images, developing quality metrics for 3D visual content is almost an unexplored issue. Therefore, this chapter will further introduce some well-known 2D image quality metrics and investigate their capabilities in stereoscopic image quality assessments. As an important attribute of stereoscopic images, disparity refers to the difference in image location of an object seen by the left and right eyes, which has a significant impact on the stereoscopic image quality assessment. Thus, a study on an integration of the disparity information in quality assessment is presented. The experimental results demonstrated that better performance can be achieved if the disparity information and original images are combined appropriately in the stereoscopic image quality assessment.
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References
Meesters, L.M.J., Ijsselsteijn, W.A., Seuntiëns, P.J.H.: A survey of perceptual evaluation and requirements of three-dimensional TV. IEEE Trans. Circuits and Systems for Video Technology 14(3), 381–391 (2004)
Tam, W.J., Stelmach, L.B., Corriveau, P.J.: Psychovisual aspects of viewing stereoscopic video sequences. In: Proc. SPIE Stereoscopic Displays and Virtual Reality System V, San Jose, CA, USA (1998)
Pastoor, S.: Human factors of 3D displays in advanced image communications. Displays 14(3), 150–157 (1993)
Stelmach, L., Tam, W.J., Meegan, D., Vincent, A.: Stereo image quality: effects of spatio-temporal resolution. IEEE Trans. Circuits and Systems for Video Technology 10(2), 188–193 (2000)
Ijsselsteijn, W.A., de, R.H., Vliegen, J.: Subjective evaluation of stereoscopic images: effects of camera parameters and display duration. IEEE Trans. Circuits and Systems for Video Technology 10(2), 225–233 (2000)
Meegan, D.V.: Unequal weighting of monocular inputs in binocular combination: implications for the compression of stereoscopic imagery. Journal Experimental Psychology: Applied 7(2), 143–153 (2001)
Seuntiens, P., Meesters, L., Ljsselsteijn, A.: Perceived quality of compressed stereoscopic images: Effects of symmetric and asymmetric JPEG coding and camera separation. ACM Trans. Applied Perception 3(2), 95–109 (2006)
Kalva, H., Christodoulou, L., Mayron, L.M., Marques, O., Furht, B.: Design and evaluation of a 3D video system based on H.264 view coding. In: Proc. ACM Network and operating systems support for digital audio and video, Newport, Rhode Island, USA (2006)
Woods, A., Docherty, T., Koch, R.: Image distortions in stereoscopic video systems. In: Proc. SPIE Stereoscopic Displays and Applications IV, San Jose, CA, USA (1993)
Yamanoue, H., Okui, M., Okano, F.: Geometrical analysis of puppet-theater and cardboard effects in stereoscopic HDTV images. IEEE Trans. Circuits and Systems for Video Technology 16(6), 744–752 (2006)
Boev, A., Gotchev, A., Eqiazarian, K.: Crosstalk Measurement Methodology for Auto-Stereoscopic Screens. In: Proc. IEEE 3DTV, Kos, Greece (2007)
Seuntiens, P.J.H., Meesters, L.M.J., Ijsselsteijn, W.A.: Perceptual attributes of crosstalk in 3D images. Displays 26(4-5), 177–183 (2005)
Kim, D., Min, D., Oh, J., Jeon, S., Sohn, K.: Depth map quality metric for three-dimensional video. In: Proc. SPIE Stereoscopic Displays and Applications XX, San Jose, CA, USA (2009)
Hewage, C.T.E.R., Worrall, S.T., Dogan, S., Kondoz, A.M.: Prediction of stereoscopic video quality using objective quality models of 2-D video. Electronics Letters 44(16), 963–965 (2008)
Pinson, M., Wolf, S.: A new standardized method for objectively measuring video quality. IEEE Trans. Broadcasting 50(33), 312–322 (2004)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simonselli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Processing 13(4), 600–612 (2004)
Campisi, P., Callet, P.L., Marini, E.: Stereoscopic images quality assessment. In: Proc. 15th European Signal Processing Conference (EUSIPCO), Poznan, Poland (2007)
Benoit, A., Callet, P.L., Campisi, P., Cousseau, R.: Quality Assessment of Stereoscopic Images. EURASIP Journal Image and Video Processing (Article ID 659024) (2008), doi:10.1155/2008/659024
Jiachen, Y., Chunping, H., Zhou, Y., Zhang, Z., Guo, J.: Objective quality assessment method of stereo images. In: Proc. IEEE 3DTV, Potsdam, Germany (2009)
Boev, A., Gotchev, A., Eqiazarian, K., Aksay, A., Akar, G.B.: Towards compound stereo-video quality metric: a specific encoder-based framework. In: Proc. IEEE Southwest Symposium Image Analysis and Interpretation, Denver, CO, USA (2006)
Olsson, R., Sjostrom, M.A.: Depth dependent quality metric for evaluation of coded integral imaging based 3D-images. In: Proc. IEEE 3DTV, Kos, Greece (2007)
Gorley, P., Holliman, N.: Stereoscopic image quality metrics and compression. In: Proc. SPIE Stereoscopic Displays and Applications XIX, San Jose, CA, USA (2008)
Sazzad, Z.M.P., Yamanaka, S., Kawayoke, Y., Horita, Y.: Stereoscopic image quality prediction. In: Proc. IEEE QoMEX, San Diego, CA, USA (2009)
Akar, G.B., Tekalp, A.M., Fehn, C., Civanlar, M.R.: Transport Methods in 3DTV: A Survey. IEEE Trans. Circuits and Systems for Video Technology 17(11), 1622–1630 (2007)
Barkowsky, M., Cousseau, R., Callet, P.L.: Influence of depth rendering on the quality of experience for an autostereoscopic display. In: Proc. IEEE QoMEX, San Diego, CA, USA (2009)
Hang, S., Xun, C., Er, G.: Objective quality assessment of depth image based rendering in 3DTV system. In: Proc. IEEE 3DTV, Potsdam, Germany (2009)
Wang, X., Yu, M., Yang, Y., Jiang, G.: Research on subjective stereoscopic image quality assessment. In: Proc. SPIE Multimedia Content Access: Algorithm and Systems III, San Jose, CA, USA (2009)
Middlebury Stereo Vision Page, http://vision.middlebury.edu/stereo
Taubman, D.S., Marcellin, M.W.: JPEG 2000: Image Compression Fundamentals, Standards and Practice. Kluwer, Norwell (2001)
ITU-R Recommendation. BT.500-10 Methodology for the subjective assessment of the quality of television. ITU-R, Geneva, Switzerland (2002)
Sheikh, H.R., Sabir, M.F., Bovik, A.C.: A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms. IEEE Trans. Image Processing 15(11), 3440–3451 (2006)
Wang, Z., Simoncelli, E.P., Bovik, A.C.: Multi-scale structural similarity for image quality assessment. In: Proc. IEEE Asilomar Conference Signals, Systems and Computers, Pacific Grove, CA, USA (2003)
Chandler, D.M., Hemami, S.S.: VSNR: A wavelet-based visual signal-to-noise ratio for natural images. IEEE Trans. Image Processing 16(9), 2284–2298 (2007)
Sheikh, H.R., Bovik, A.C.: Image information and visual quality. IEEE Trans. Image Processing 15(2), 430–444 (2006)
Wang, Z., Bovik, A.C.: A universal image quality index. IEEE Signal Processing Letters 9(3), 81–84 (2002)
Sheikh, H.R., Bovik, A.C.: An information fidelity criterion for image quality assessment using natural scene statistics. IEEE Trans. Image Processing 14(12), 2117–2128 (2005)
Simoncelli, E.P., Freeman, W.T.: The steerable pyramid: A flexible architecture for multi-scale derivative computation. In: Proc. IEEE ICIP, Washington, DC, USA (1995)
Damera-Venkata, N., Kite, T.D., Geisler, W.S., Evans, B.L., Bovik, A.C.: Image quality assessment based on a degradation model. IEEE Trans. Image Processing 9(4), 636–650 (2000)
Ponomarenko, N., Battisti, F., Egiazarian, K., Carli, M., Astola, J., Lukin, V.: On between-coefficient contrast masking of DCT basis functions. In: CD-ROM Proc. VPQM, Scottsdale, Arizona, USA (2007)
Yang, X.K., Ling, W.S., Lu, Z.K., Ong, E.P., Yao, S.S.: Just noticeable distortion model and its applications in video coding. Signal Processing: Image Communication 20(7), 662–680 (2005)
Sheikh, H.R., Wang, Z., Cormack, L., Bovik, A.C.: LIVE Image Quality Assessment Database Release 2, http://live.ece.utexas.edu/research/quality
VQEG: Final report from the Video Quality Experts Group on the validation of objective models of video quality assessment (2000), http://www.vqeg.org
Qian, N.: Binocular Disparity and the Perception of Depth. Neuron 18, 359–368 (1997)
You, J., Xing, L., Perkis, A., Wang, X.: Perceptual quality assessment for stereoscopic images based on 2D image quality metrics and disparity analysis. In: Proc. VPQM, Scottsdale, Arizona, USA (2010)
Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient belief propagation for early vision. Int. Journal Computer Vision 70(1), 41–54 (2006)
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You, J., Jiang, G., Xing, L., Perkis, A. (2010). Quality of Visual Experience for 3D Presentation - Stereoscopic Image. In: Mrak, M., Grgic, M., Kunt, M. (eds) High-Quality Visual Experience. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12802-8_3
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DOI: https://doi.org/10.1007/978-3-642-12802-8_3
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