A stereo image coding using hierarchical basis

Han Suh Koo, Chang-Sung Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the increase of interesting about stereoscopy, stereo coding techniques are raising issues. Because stereo image pair has many different features compared with monocular image sequences, stereo coding problem should be discussed separately from compression of monocular sequences. In this paper, we propose an improved technique to code a target image patch with specially designed block vector set. Multiresolutional basis vectors are designed to present a hierarchical architecture to adapt our system to a transmission condition or user’s request easily. Some block vectors that are independent to reference image help to represent edges or occlusions effectively. We will show that our scheme provides enhancements in not only quality of decompressed image but processing time.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages493-501
Number of pages9
Volume2532
ISBN (Print)3540002626, 9783540002628
Publication statusPublished - 2002
Event3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan, Province of China
Duration: 2002 Dec 162002 Dec 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2532
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
CountryTaiwan, Province of China
CityHsinchu
Period02/12/1602/12/18

Fingerprint

Hierarchical Basis
Image Coding
Image coding
Stereoscopy
Coding
Transmission Conditions
Image Sequence
Occlusion
Patch
Image Processing
Image processing
Compression
Enhancement
Target

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Koo, H. S., & Jeong, C-S. (2002). A stereo image coding using hierarchical basis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2532, pp. 493-501). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2532). Springer Verlag.

A stereo image coding using hierarchical basis. / Koo, Han Suh; Jeong, Chang-Sung.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2532 Springer Verlag, 2002. p. 493-501 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2532).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Koo, HS & Jeong, C-S 2002, A stereo image coding using hierarchical basis. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2532, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2532, Springer Verlag, pp. 493-501, 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002, Hsinchu, Taiwan, Province of China, 02/12/16.
Koo HS, Jeong C-S. A stereo image coding using hierarchical basis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2532. Springer Verlag. 2002. p. 493-501. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Koo, Han Suh ; Jeong, Chang-Sung. / A stereo image coding using hierarchical basis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2532 Springer Verlag, 2002. pp. 493-501 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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