Akbari, Akbar Sheikh

Anantrasirichai, N

Bull, David

Canagarajah, CN

Redmill, DW

English

Colour volumetric data, which is constructed from a set of multi-view images, is capable of providing realistic immersive experience. However it is not widely applicable due to its manifold increase in bandwidth. This paper presents a novel framework to achieve scalable volumetric compression. Based on wavelet transformation, data rearrangement algorithm is proposed to compact volumetric data leading to high efficiency of transformation. The colour data is rearranged using the characteristics of human visual system. A pre-processing scheme for adaptive resolution is also proposed in this paper. The low resolution overcomes the limitation of the data transmission at low bitrates, whilst the fine resolution improves the quality of the synthesised images. Results show significant improvement of the compression performance over the traditional 3D coding. Finally, effect of using residual coding is investigated in order to show a trade off between the compression and view synthesis performance.Colour volumetric data, which is constructed from a set of multi-view images, is capable of providing realistic immersive experience. However it is not widely applicable due to its manifold increase in bandwidth. This paper presents a novel framework to achieve scalable volumetric compression. Based on wavelet transformation, data rearrangement algorithm is proposed to compact volumetric data leading to high efficiency of transformation. The colour data is rearranged using the characteristics of human visual system. A pre-processing scheme for adaptive resolution is also proposed in this paper. The low resolution overcomes the limitation of the data transmission at low bitrates, whilst the fine resolution improves the quality of the synthesised images. Results show significant improvement of the compression performance over the traditional 3D coding. Finally, effect of using residual coding is investigated in order to show a trade off between the compression and view synthesis performance

Explore Bristol Research

Compact Encoding of 3-D Voxel Surfaces based on Pattern Code Representation,”

Compression of 3-Dimensional Medical Image Data Using Part

Dynamic Programming for Multi-view Disparity/Depth Estimation,”

Geometry Compresion,”

Geometry Compression through Topological Surgery,”

Information Technology - JPEG

Lossy-to-Lossless Compression of Medical Volumetric Data Using Three-Dimentional Integer Wavelet Transforms,”

Multi-View Coding for Image-Based Rendering Using

Multi-View Image Coding Using 3-D Voxel Models,”

Predictive Compression of Geometry,

Robust Calibration and 3D Geometric Modeling from Large Collections of Uncalibrated Images,” in

Volumetric Representation for Sparse Multi-views,”

Wavelet based 3D compression with fast random access for very large volume data,”

Wavelet coding of volumetric medical datasets,”

Colour volumetric compression for realistic view synthesis applications

https://research-information.bris.ac.uk/files/8983173/Microsoft_Word_DraftvolumeCoding3.pdf

Colour volumetric compression for realistic view synthesis applications

Abstract

Similar works

Full text

Available Versions

Explore Bristol Research