Visual Communication: Information and Fidelity

Article Properties
Cite
Huck, Friedrich O., et al. “Visual Communication: Information and Fidelity”. Journal of Visual Communication and Image Representation, vol. 4, no. 1, 1993, pp. 62-78, https://doi.org/10.1006/jvci.1993.1006.
Huck, F. O., Fales, C. L., Alter-Gartenberg, R., Rahman, Z.-U., & Reichenbach, S. E. (1993). Visual Communication: Information and Fidelity. Journal of Visual Communication and Image Representation, 4(1), 62-78. https://doi.org/10.1006/jvci.1993.1006
Huck FO, Fales CL, Alter-Gartenberg R, Rahman ZU, Reichenbach SE. Visual Communication: Information and Fidelity. Journal of Visual Communication and Image Representation. 1993;4(1):62-78.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
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Citations
Title Journal Journal Categories Citations Publication Date
Nonlinear dynamic range transformation in visual communication channels IEEE Transactions on Image Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2 1996
Efficient visual communication channels Journal of Mathematical Imaging and Vision
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 1995
Optimal visual communication channels IEEE Transactions on Communications
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 3 1995
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Engineering (General). Civil engineering (General)1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Technology: Mechanical engineering and machinery1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Efficient visual communication channels and was published in 1995. The most recent citation comes from a 1996 study titled Nonlinear dynamic range transformation in visual communication channels. This article reached its peak citation in 1995, with 2 citations. It has been cited in 3 different journals. Among related journals, the Journal of Mathematical Imaging and Vision cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year