Removing depth map coding distortion by using post filter set
•Als PPTX, PDF herunterladen•
2 gefällt mir•4,551 views
Project page: http://nma.web.nitech.ac.jp/fukushima/research/depthmap_postfilter.html Poster file of ICME2013. N. Fukushima, T. Inoue, and Y. Ishibashi, "Removing depth map coding distortion by using post filter set," in Proc. IEEE International Conference on Multimedia and Expo (ICME), July 2013.
![Min filtered
Max filtered
Input signal
Kernel
Nearest value output
Comparing
difference
max
min
3. output
1. Input
2. max/min
#Limitation: Only one edge in a Kernel window
Removing Depth Map Coding Distortion
by Using Post Filter Set
Norishige Fukushima*, Tomohiko Inoue, Yutaka Ishibashi
Graduate School of Engineering, Nagoya Institute of Technology
Introduction and Overview Experimental Results
Proposed Method
Various codec, JPEG, JPEG2000, JPEG-
LS, H.264/AVC, can encode depth map and
these codecs have coding distortion.
Objective of this paper is removing
distortions by using post filter set.
Problem and OverviewBackground
Median Filter
R-D curve of various image codecs
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
1 1 1 1 0
1 1 1 0 0
1 1 0 0 0
Box Filter
Binary Weighted Range Filter (BWRF)
Box Filter
BWRFInput
Profile
curve
position
Min-max Blur Remove Filter
Binary Weighted Range Filter
3D scene
2cm
8cm
Source
view
Virtual
views
RAW Image
RAW depth
map
RAW Image
Coded/filtered
depth map
comparecompare
Experimental Setup
Depth map and image captured
from Kinect. Depth maps are
coded by various codecs.
#Image is not compressed.
[1]K. Lai, L .Bo, X. Ren, and D. Fox, “A large-scale
hierarchical multi-view rgb-d object dataset.,” in
Proc. ICRA, pp. 1817–1824, May 2011.
[2] K.-J. Oh, A. Vetro, and Y.-S. Ho, “Depth coding
using a boundary reconstruction filter for 3-d video
systems,” IEEE Trans. CSVT, vol. 21, no. 3, pp. 350 –
359, Mar. 2011.
Trans
mission
Encode Decode
Post
filtering
View
synthesis
Depth
Map
Image
Median
Filter
Min-Max
Blur Remove
Filter
Weighted
Range Filter
Over quantization
is recovered
Boundary blur
is removed
Spike noise
is removed
Gaussian
Filter
Gaussian noise
is removed
Project site/Source code: http://nma.web.nitech.ac.jp/fukushima/research/depthmap_postfilter.html
Reference
Computational Time
15 ms
Intel Core i7 2.93GHz (4core HT)
Parallelization: SSE4, Intel TBB
Language:C++
IEEE International Conference on Multimedia & Expo (ICME), July 2013](https://image.slidesharecdn.com/icmefukushimaposter-130725002037-phpapp01/85/Removing-depth-map-coding-distortion-by-using-post-filter-set-1-320.jpg?cb=1374711906)
Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Andere mochten auch
Mehr von Norishige Fukushima
Mehr von Norishige Fukushima (6)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
Removing depth map coding distortion by using post filter set
- 1. Min filtered Max filtered Input signal Kernel Nearest value output Comparing difference max min 3. output 1. Input 2. max/min #Limitation: Only one edge in a Kernel window Removing Depth Map Coding Distortion by Using Post Filter Set Norishige Fukushima*, Tomohiko Inoue, Yutaka Ishibashi Graduate School of Engineering, Nagoya Institute of Technology Introduction and Overview Experimental Results Proposed Method Various codec, JPEG, JPEG2000, JPEG- LS, H.264/AVC, can encode depth map and these codecs have coding distortion. Objective of this paper is removing distortions by using post filter set. Problem and OverviewBackground Median Filter R-D curve of various image codecs 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 0 0 0 Box Filter Binary Weighted Range Filter (BWRF) Box Filter BWRFInput Profile curve position Min-max Blur Remove Filter Binary Weighted Range Filter 3D scene 2cm 8cm Source view Virtual views RAW Image RAW depth map RAW Image Coded/filtered depth map comparecompare Experimental Setup Depth map and image captured from Kinect. Depth maps are coded by various codecs. #Image is not compressed. [1]K. Lai, L .Bo, X. Ren, and D. Fox, “A large-scale hierarchical multi-view rgb-d object dataset.,” in Proc. ICRA, pp. 1817–1824, May 2011. [2] K.-J. Oh, A. Vetro, and Y.-S. Ho, “Depth coding using a boundary reconstruction filter for 3-d video systems,” IEEE Trans. CSVT, vol. 21, no. 3, pp. 350 – 359, Mar. 2011. Trans mission Encode Decode Post filtering View synthesis Depth Map Image Median Filter Min-Max Blur Remove Filter Weighted Range Filter Over quantization is recovered Boundary blur is removed Spike noise is removed Gaussian Filter Gaussian noise is removed Project site/Source code: http://nma.web.nitech.ac.jp/fukushima/research/depthmap_postfilter.html Reference Computational Time 15 ms Intel Core i7 2.93GHz (4core HT) Parallelization: SSE4, Intel TBB Language:C++ IEEE International Conference on Multimedia & Expo (ICME), July 2013