CPU-based speed acceleration techniques for shear warp volume rendering

Kiyoung Choi; Sungup Jo; Hwamin Lee; Changsung Jeong

doi:10.1007/s11042-012-1010-7

CPU-based speed acceleration techniques for shear warp volume rendering

Kiyoung Choi, Sungup Jo, Hwamin Lee, Changsung Jeong

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The shear-warp algorithm with run-length-encoded volume is one of the fastest CPU-based speed acceleration techniques developed so far for direct volume rendering. But it has some defects, such as the increases in memory consumption and preprocessing time as well as the deterioration in image quality. This paper provides two kinds of techniques that can solve such defects without degrading rendering speed. One technique concentrates on enhancing image quality and decreasing memory consumption without reducing rendering speed, by making direct access to the memory space where initially loaded volume data is stored. The other technique concentrates on accelerating rendering speed and decreasing preprocessing time, by creating only one run-length-encoded volume and by combining non-photorealistic rendering techniques with shear-warp algorithm. In the present research, both techniques efficiently decreased the memory consumption and preprocessing time of shear-warp algorithm. They also showed optimal results in rendering speed and image quality.

Original language	English
Pages (from-to)	309-329
Number of pages	21
Journal	Multimedia Tools and Applications
Volume	64
Issue number	2
DOIs	https://doi.org/10.1007/s11042-012-1010-7
Publication status	Published - 2013 May

Bibliographical note

Funding Information:
Fig. 11 Resulting images by fast shear-warp algorithm (left side) and shear-warp algorithm without compressed-opaque-voxel (right side). Top row is engine data, middle row is piggy bank data, and bottom row is CT head data Fig. 12 Resulting images by shear-warp algorithm without compressed-opaque-voxel. Stag beetle, bunny, carp, foot, CTA brain and engine from left top most to clock wise direction Fig. 13 Resulting images by shear-warp algorithm with one run-length-encoded volume. Stag beetle, bunny, carp, CT head, piggy bank and engine from left top most to clock wise direction Acknowledgment This research was supported by MKE(Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2010-C1090-1001-0008), Future-based Technology Development Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(2010-0020-732), a Brain Korea 21 project and a grant of Korea University.

Keywords

CPU-based speed acceleration technique
Shear warp algorithm
Volume rendering

ASJC Scopus subject areas

Software
Media Technology
Hardware and Architecture
Computer Networks and Communications

Access to Document

10.1007/s11042-012-1010-7

Cite this

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title = "CPU-based speed acceleration techniques for shear warp volume rendering",

abstract = "The shear-warp algorithm with run-length-encoded volume is one of the fastest CPU-based speed acceleration techniques developed so far for direct volume rendering. But it has some defects, such as the increases in memory consumption and preprocessing time as well as the deterioration in image quality. This paper provides two kinds of techniques that can solve such defects without degrading rendering speed. One technique concentrates on enhancing image quality and decreasing memory consumption without reducing rendering speed, by making direct access to the memory space where initially loaded volume data is stored. The other technique concentrates on accelerating rendering speed and decreasing preprocessing time, by creating only one run-length-encoded volume and by combining non-photorealistic rendering techniques with shear-warp algorithm. In the present research, both techniques efficiently decreased the memory consumption and preprocessing time of shear-warp algorithm. They also showed optimal results in rendering speed and image quality.",

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author = "Kiyoung Choi and Sungup Jo and Hwamin Lee and Changsung Jeong",

note = "Funding Information: Fig. 11 Resulting images by fast shear-warp algorithm (left side) and shear-warp algorithm without compressed-opaque-voxel (right side). Top row is engine data, middle row is piggy bank data, and bottom row is CT head data Fig. 12 Resulting images by shear-warp algorithm without compressed-opaque-voxel. Stag beetle, bunny, carp, foot, CTA brain and engine from left top most to clock wise direction Fig. 13 Resulting images by shear-warp algorithm with one run-length-encoded volume. Stag beetle, bunny, carp, CT head, piggy bank and engine from left top most to clock wise direction Acknowledgment This research was supported by MKE(Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2010-C1090-1001-0008), Future-based Technology Development Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(2010-0020-732), a Brain Korea 21 project and a grant of Korea University.",

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AB - The shear-warp algorithm with run-length-encoded volume is one of the fastest CPU-based speed acceleration techniques developed so far for direct volume rendering. But it has some defects, such as the increases in memory consumption and preprocessing time as well as the deterioration in image quality. This paper provides two kinds of techniques that can solve such defects without degrading rendering speed. One technique concentrates on enhancing image quality and decreasing memory consumption without reducing rendering speed, by making direct access to the memory space where initially loaded volume data is stored. The other technique concentrates on accelerating rendering speed and decreasing preprocessing time, by creating only one run-length-encoded volume and by combining non-photorealistic rendering techniques with shear-warp algorithm. In the present research, both techniques efficiently decreased the memory consumption and preprocessing time of shear-warp algorithm. They also showed optimal results in rendering speed and image quality.

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CPU-based speed acceleration techniques for shear warp volume rendering

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Keywords

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