dvmmPub171

Belle L. Tseng, Dimitris Anastassiou. A Theoretical Study on an Accurate Reconstruction of Multiview Images Based on the Viterbi Algorithm. In IEEE International Conference on Image Processing (ICIP), Washington, DC, October 1995.

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Abstract

Significant perceptual improvements can be gained in the coding of stereoscopic videos, as is illustrated here by modifying the adaptive quantization of an MPEG-2 codec. Applying human visual properties to MPEG-2's temporal scalability framework, a perceptual adaptive quantization approach to stereoscopic video coding is presented. To optimize the perceived picture quality of the reconstructed stereo images, binocular visibility of stereo coding artifacts is investigated, including image fusion and visual masking. Four normalized indicators are introduced to account for 3D visual artifacts, and are incorporated to determine the quantization parameters. They are (1) prediction accuracy, (2) prediction correlation, (3) fusion indicator, and (4) texture intensity. Simulations indicate the importance of perceptual stereo coding, with improvements in overall stereo quality and reductions in binocular artifacts

BibTex Reference

@InProceedings{dvmmPub171,
   Author = {L. Tseng, Belle and Anastassiou, Dimitris},
   Title = {A Theoretical Study on an Accurate Reconstruction of Multiview Images Based on the Viterbi Algorithm},
   BookTitle = {IEEE International Conference on Image Processing (ICIP)},
   Address = {Washington, DC},
   Month = {October},
   Year = {1995}
}

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