Abstract
The frame-compatible packing for 3D contents is the feasible approach to archive the compatibility with the existing monocular broadcasting system. To perceive better 3D quality, the packed 3D frames are expanded to the full size at the decoder. In this paper, an interpolation technique enhancing and comparing the quality of enlarged halt vertical left and right stereo video in the top–bottom frame-compatible packing is presented. To this end, the appropriate interpolation modes from fourteen available modes for each row segment, which exploit the correlation between left and right stereoscopic as well as current and adjacent frames of individual view, are estimated at the encoder. Based on the information received from the encoder, at the decoder, the interpolation scheme can select the most appropriate available original data to find the missing values of to-be-discarded row segments. The proposed method outperformed than the state-of-the-art interpolation methods in terms of subjective visualization and numerical PSNRs and SSMI about 11%, with an execution time of about 12% comparisons.
Highlights
With the increasing popularity of 3D contents, 3DTV broadcasting services becomes a reality
The experiments were done on MATLAB version R2016a environment installed on the machine with the configuration: Intel® coreTMi5CPU 4G Ram Windows 10 64 bit operating system
In NEDI6 [9], Io d is the downsample of the original image Io which is expanded to Ii of size mxn with zero value row at k t h row of Io, the row of Io after the downsample is linked to the odd rows of expanded frame Ii by Ii (i, 2j − 1) = Io (i, j, and using the sixth order h6, the discarded row is derived from the undiscarded row as Equation (7)
Summary
With the increasing popularity of 3D contents, 3DTV broadcasting services becomes a reality. Each pixel of the left image (or the right image in this block) is assigned the value of the corresponding pixel of another image for each matched block This leads to the interpolated pixel being less accurate due to a block mismatch problem. Another issue of stereo matching is the accuracy of disparity estimation on the occlusion region where there are no matched regions between the right and left frames. For the top–bottom packing, the disparity estimation for each deleted line can be exploited to determine an appropriate interpolation mode [14] This method significantly improves the video quality, it does not consider the inter-frame relations to improve the quality of interpolated 3D video sequences. The conclusion and future works are in the last Section 5
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
