Matlab depth map with 3x3 Gaussian smoothing
Foreground-Object-Protected Depth Map Smoothing for DIBR
... the depth maps for DIBR is ...sharp depth discontinuities prediction, the depth map is smoothed with the principle that not changing pixel values of any foreground regions, but only that of ...
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MATLAB Implementation of Efficient Data Encapsulation Technique using Stereoscopic Depth Map Estimation
... Stereo, Depth map, Data encapsulation, RDH, LSB, DWT, MATLAB ...content. Depth map of an image is an image or channel that contains information relating to the distance of the surface ...
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Laplacian-Gaussian Method of 3D Surface Extrapolation, from a Set of 2D, Shallow Depth of Field Images in MATLAB
... the Gaussian fit algorithm provided by MATLAB appeared to create its own extreme peaks and drops, either well above or well below what could ever be thought of as reasonable for the surfaces it was being ...
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Q Deformation in Gaussian Map
... q-deformed Gaussian map for q = ...q-deformed Gaussian map. The q-deformation of Gaussian map is espoused by plotting the maps in MATLAB with changing the q-deformation ...
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DESIGN AND IMPLEMENTATION OF GAUSSIAN SMOOTHING FILTER FOR IMAGE PROCESSING APPLICATIONS
... Abstract: Gaussian smoothing filter plays a very vital role in the field of image processing due to enhancing capability and removal of different noise which are occurred at the image ...in Gaussian ...
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Methods for depth-map filtering in view-plus-depth 3D video representation
... per-pixel depth represented as gray-scale image ...the depth map plays a crucial role as it determines the quality of the rendered ...received depth map, the compression artifacts are ...
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Survey on Depth Map Pre-processing Techniques in Depth Image Based Rendering
... time. Smoothing process is performed only in depth map with sharp depth discontinuities, thus the computational time is reduced and depth quality of non-hole regions is also ...
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Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP Package
... I map the periodic domain (0, 2π) D to (0, 2) D and then map the observation domain onto the (0, 1) D portion (maintaining the scale ratio in the different dimensions, unless desired otherwise), thereby ...
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Depth Map Super-Resolution for Multi-view Images
... IV. EXPERIMENTAL RESULT To evaluate performance, multi-view images from a personal photo collection are used. The enhancement in super resolution image was compared with the original low resolution image via the increase ...
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Non-parametric Blur Map Regression for Depth of Field Extension
... a Gaussian noise (variance σ n =1 and σ n =2 ...blur map computed using the MMSE criterion of ...blur map is grainy due to over-fitting, yielding locally various blur scales despite of being at the ...
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Robust Filtering and Smoothing with Gaussian Processes.
... optimal Gaussian approximation of the predictive distribution when mapping a Gaussian distribution through a nonlinear ...and smoothing distributions as discussed in Sec ...
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Depth-Map-Assisted Texture and Depth Map Super-Resolution
... in depth, the SR methods designed for 3D video can reach better results than directly applying 2D SR algorithms on 3D ...introduce depth information into the texture SR process by referring the ...
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Estimating Mixture of Gaussian Processes by Kernel Smoothing
... methods. We may start with some likelihood-based approaches such as the information criterion method or penalized likelihood, however, a critical issue is to assess the model complexity, i.e., the effective number of ...
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Merging-based forward-backward smoothing on Gaussian mixtures
... backward smoothing (BS) step, Rauch-Tung-Striebel (RTS) smoothing is used along each branch in the hypothesis tree to obtain the smoothing ...the Gaussian densities, the weights of all ...
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Depth Assisted Background Modeling and Super-resolution of Depth Map
... imperfect depth map ...inaccurate depth map estimated from DERS. The accuracy of the depth map is decreased along with the increased degree of the object’s ...in depth ...
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The Implementation of Image Smoothing to Reduce Noise using Gaussian Filter
... 1. INTRODUCTION 1.1 Background Data or information is not only presented in a text format, but it is also possible to be presented in an image, audio, and video format. Those data is generally called Multimedia. In this ...
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Discrete Gaussian Measures and New Bounds of the Smoothing Parameter for Lattices
... In this paper, we start with a discussion of discrete Gaussian measures on lattices. Several results of Banaszczyk are analyzed, different approaches are suggested. In the second part of the paper we prove two new ...
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Gaussian process quadratures in nonlinear sigma-point filtering and smoothing
... and smoothing. We show how Gaussian process ...the Gaussian integrals arising in the filters and ...the Gaussian process quadratures can be reduced to unscented transforms, spherical cubature ...
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Anisotropic Smoothing and Image Restoration Facing Non-Gaussian Noise
... Nonlocal filtering facing multiplicative noise In the third part we present a new similarity measure and nonlocal filters for images corrupted by multiplicative noise. Most of these results are contained in [TL12a, ...
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Implementation of Depth Map Filtering on GPU
... Figure 2.4: depth Vs viewing distance (Adapted from [29]) . are calibrated, rectified and separated by a certain distance called base-line. In simple words, the setup tries to mimic the human eye. Disparity refers ...
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