Scalable Coding of Plenoptic Images by Using a Sparse Set and Disparities

One of the light field capturing techniques is the focused plenoptic capturing. By placing a microlens array in front of the photosensor, the focused plenoptic cameras capture both spatial and angular information of a scene in each microlens image and across microlens images. The capturing results i...

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Vydáno v:IEEE transactions on image processing Ročník 25; číslo 1; s. 80 - 91
Hlavní autoři: Yun Li, Sjostrom, Marten, Olsson, Roger, Jennehag, Ulf
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.01.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Cameras
compression
disparity-based interpolation
HEVC
Image coding
image inpainting
Image reconstruction
interpolation
Lenses
light field
lossy coding scheme
microlens image
Microoptics
photosensor
Plenoptic
plenoptic images
Rendering (computer graphics)
Scalability
scalable coding scheme
sparse image set
light field
HEVC
Plenoptic
compression
ISSN:1057-7149, 1941-0042, 1941-0042
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Popis
Shrnutí:One of the light field capturing techniques is the focused plenoptic capturing. By placing a microlens array in front of the photosensor, the focused plenoptic cameras capture both spatial and angular information of a scene in each microlens image and across microlens images. The capturing results in a significant amount of redundant information, and the captured image is usually of a large resolution. A coding scheme that removes the redundancy before coding can be of advantage for efficient compression, transmission, and rendering. In this paper, we propose a lossy coding scheme to efficiently represent plenoptic images. The format contains a sparse image set and its associated disparities. The reconstruction is performed by disparity-based interpolation and inpainting, and the reconstructed image is later employed as a prediction reference for the coding of the full plenoptic image. As an outcome of the representation, the proposed scheme inherits a scalable structure with three layers. The results show that plenoptic images are compressed efficiently with over 60 percent bit rate reduction compared with High Efficiency Video Coding intra coding, and with over 20 percent compared with an High Efficiency Video Coding block copying mode.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2015.2498406