35 research outputs found
Block order of macroblock and Intra predictions for one block.
<p>Block order of macroblock and Intra predictions for one block.</p
Algorithm 1: Foreground and Background Extraction.
<p>Algorithm 1: Foreground and Background Extraction.</p
Parameter analysis for thresholds and on the Kendo and Lovebird test materials in the case of using different QP parameters.
<p>(A) Bad Point Ratio curves for different and QP parameter when is fixed as 8. Experiments are performed on Kendo test sequence. (B) Bad Point Ratio curves for different and QP parameter when is fixed as 8. Experiments are performed on Lovebird test sequence. (C) Bad Point Ratio curves for different and QP parameters when is fixed as 1. Experiments are performed on Kendo test sequence. (D) Bad Point Ratio curves for different and QP parameters when is fixed as 1. Experiments are performed on Lovebird test sequence.</p
Parameter analysis for and .
<p>(a) The Bad Point Ratio with different selection when is fixed as 4. (b) The Bad Point Ratio with different selection when is fixed as 9.</p
Comparisons on Quality of Reconstructed Depth Maps and Synthesized Virtual Views (dB).
<p>Comparisons on Quality of Reconstructed Depth Maps and Synthesized Virtual Views (dB).</p
The results of each step in our scheme to the depth map reconstruction.
<p>(A) Depth map reconstructed by <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055586#pone.0055586.e015" target="_blank">Equation 1</a>. (B) The enlarged part in (A) for comparison. (C) Depth map reconstructed with MV outlier elimination from our scheme. (D) The enlarged part in (C) for comparison. (E) Depth map reconstructed with absent MV processing but without MV outlier elimination from our scheme. (F) The enlarged part in (E) for comparison. (G) Depth map reconstructed with MV outlier elimination and absent MV processing but without near-boundary depth processing from our scheme. (H) The enlarged part in (G) for comparison. (I) Depth map reconstructed with our scheme. (J) The enlarged part in (I) for comparison. (K) The difference map between (G) and (I) after near-boundary depth processing is applied. (L) The enlarged part in (K) for comparison.</p
Objective results of our method.
<p>(a) Reconstructed quality for 9 consequent depth maps of left and right views for Lovebird1. (b) Quality for 9 synthesized correspondent virtual view images.</p
Flow chart for MV outlier detection and processing in our proposed scheme.
<p>Flow chart for MV outlier detection and processing in our proposed scheme.</p
Texture analysis for color image for different .
<p>Texture analysis for color image for different .</p