Spatial scalability in compressed domain

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

1 Scopus citations


The large quantity of data associated with visual information necessitates the use of compression techniques. In this paper, we propose a novel approach (compressed domain technique) to implement spatial scalability directly on the compressed image/video data. In contrast to the spatial domain technique (baseline for comparison), the proposed technique removes the unnecessary decompression and re-compression procedures. The computational complexity is greatly reduced by using certain approximations. We note that depending on the image/video content, only marginal quality degradation (almost unnoticeable subjectively) may be introduced. Simulation results confirm the substantial reductions in computational complexity of the proposed technique at a comparable performance to the spatial domain technique.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsVasudev Bhaskaran, Frans Sijstermans, Sethuraman Panchanathan
Number of pages9
StatePublished - Jan 1 1996
Externally publishedYes
EventDigital Video Compression: Algorithms and Technologies 1996 - San Jose, CA, USA
Duration: Jan 31 1996Feb 2 1996

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherDigital Video Compression: Algorithms and Technologies 1996
CitySan Jose, CA, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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