Image analysis and compression: Renewed focus on texture

Thrasyvoulos N. Pappas, Jana Zujovic, David L. Neuhoff

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

15 Scopus citations


We argue that a key to further advances in the fields of image analysis and compression is a better understanding of texture. We review a number of applications that critically depend on texture analysis, including image and video compression, content-based retrieval, visual to tactile image conversion, and multimodal interfaces. We introduce the idea of "structurally lossless" compression of visual data that allows significant differences between the original and decoded images, which may be perceptible when they are viewed side-by-side, but do not affect the overall quality of the image. We then discuss the development of objective texture similarity metrics, which allow substantial point-by-point deviations between textures that according to human judgment are essentially identical.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Visual Information Processing and Communication
StatePublished - 2010
EventVisual Information Processing and Communication - San Jose, CA, United States
Duration: Jan 19 2010Jan 21 2010

Publication series

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


OtherVisual Information Processing and Communication
Country/TerritoryUnited States
CitySan Jose, CA


  • Dominant colors
  • Human visual perception
  • Image quality
  • Image segmentation
  • Semantic analysis
  • Structural texture similarity
  • Structurally lossless compression

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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