A computationally efficient denoising and hole-filling method for depth image enhancement

2016 ◽  
Author(s):  
Soulan Liu ◽  
Chen Chen ◽  
Nasser Kehtarnavaz
Keyword(s):  
Image Enhancement ◽  
Depth Image ◽  
Hole Filling ◽  
Computationally Efficient ◽  
Filling Method

Hole Filling Method for Depth Image Based Rendering Based on Boundary Decision

2017 ◽  
Vol 24 (3) ◽  
pp. 329-333 ◽  
Author(s):  
Jea-Hyung Cho ◽  
Wonseok Song ◽  
Hyuk Choi ◽  
Taejeong Kim
Keyword(s):  
Depth Image ◽  
Hole Filling ◽  
Image Based Rendering ◽  
Depth Image Based Rendering ◽  
Filling Method

scholarly journals View synthesis based on spatio-temporal continuity

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Li Yao ◽  
Qiurui Lu ◽  
Xiaomin Li
Keyword(s):  
Video Transmission ◽  
Depth Image ◽  
Hole Filling ◽  
Limited Bandwidth ◽  
Use Of Time ◽  
Virtual View ◽  
Temporal Continuity ◽  
Filling Method ◽  
Spatio Temporal ◽  
Static Background

AbstractFree viewpoint video is generated on the basis of a video plus depth (V+D) virtual point rendering framework. Because of the limited bandwidth of video transmission, depth-image-based rendering (DIBR) has become a common method. Most DIBR methods not only have holes and ghost artifacts but also have problems with time continuity, leading to frequent flickers. In this paper, we make full use of time domain information in video sequences and adjacent frames to extract the static background image of the whole scene. Furthermore, we propose a weighted-fusion hole-filling method based on static background to fill holes and maintain time continuity. Experimental results show that the proposed method can improve the quality of virtual view images and strengthen spatio-temporal continuity.

Disocclusion-type aware hole filling method for view synthesis

2021 ◽  
Author(s):  
Xiaodong Chen ◽  
Haitao Liang ◽  
Huaiyuan Xu ◽  
Siyu Ren ◽  
Huaiyu Cai ◽  
...  
Keyword(s):  
View Synthesis ◽  
Hole Filling ◽  
Filling Method

An Improved Olympic Hole-Filling Method for Ultrasound Volume Reconstruction of Human Spine

2012 ◽  
pp. 259-271 ◽  
Author(s):  
D. E. O. Dewi ◽  
T. L. R. Mengko ◽  
I. K. E. Purnama ◽  
A. G. Veldhuizen ◽  
M. H. F. Wilkinson
Keyword(s):  
Three Dimensional ◽  
3D Ultrasound ◽  
Hole Filling ◽  
Filling Process ◽  
Volume Reconstruction ◽  
Acquisition Process ◽  
Human Spine ◽  
Filling Method ◽  
Averaging Filter

Hole-filling in ultrasound volume reconstruction using freehand three-dimensional ultrasound estimates the values for empty voxels from the unallocated voxels in the Bin-filling process due to inadequate sampling in the acquisition process. Olympic operator, as a neighbourhood averaging filter, can be used to estimate the empty voxel. However, this method needs improvement to generate a closer estimation of the empty voxels. In this paper, the authors propose an improved Olympic operator for the Hole-filling algorithm, and apply it to generate the volume in a 3D ultrasound reconstruction of the spine. The conventional Olympic operator defines the empty voxels by sorting the neighbouring voxels, removing the n% of the upper and lower values, and averaging them to attain the value to fill the empty voxels. The empty voxel estimation can be improved by thresholding the range width of its neighbouring voxels and adjusting it to the average values. The method is tested on a hole-manipulated volume derived from a cropped 3D ultrasound volume of a part of the spine. The MAE calculation on the proposed technique shows improved result compared to all tested existing methods.

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