Arbitrary resizing of images in DCT space

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Cite
Mukherjee, J., and S.K. Mitra. “Arbitrary Resizing of Images in DCT Space”. IEE Proceedings - Vision, Image, and Signal Processing, vol. 152, no. 2, 2005, p. 155, https://doi.org/10.1049/ip-vis:20040843.
Mukherjee, J., & Mitra, S. (2005). Arbitrary resizing of images in DCT space. IEE Proceedings - Vision, Image, and Signal Processing, 152(2), 155. https://doi.org/10.1049/ip-vis:20040843
Mukherjee J, Mitra S. Arbitrary resizing of images in DCT space. IEE Proceedings - Vision, Image, and Signal Processing. 2005;152(2):155.
Refrences
Title Journal Journal Categories Citations Publication Date
Fast algorithms for DCT-domain image downsampling and for inverse motion compensation IEEE Transactions on Circuits and Systems for Video Technology
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23 1996
Citations
Title Journal Journal Categories Citations Publication Date
Novel DCT-Based Image Up-Sampling Using Learning-Based Adaptive k-NN MMSE Estimation IEEE Transactions on Circuits and Systems for Video Technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • 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)
2014
Block DCT to wavelet transcoding in transform domain Signal, Image and Video Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
3 2011
Image filtering in the block DCT domain using symmetric convolution Journal of Visual Communication and Image Representation
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2 2011
Fast arbitrary resizing of images in the discrete cosine transform domain IET Image Processing
  • Technology: Photography
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
3 2011
A complexity scalable H.264 decoder with downsizing capability for mobile devices IEEE Transactions on Consumer Electronics
  • 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: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2010
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 13 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Arbitrary resizing of images in DCT domain using lapped transforms and was published in 2005. The most recent citation comes from a 2014 study titled Novel DCT-Based Image Up-Sampling Using Learning-Based Adaptive k-NN MMSE Estimation. This article reached its peak citation in 2011, with 3 citations. It has been cited in 9 different journals, 22% of which are open access. Among related journals, the IEEE Transactions on Circuits and Systems for Video Technology cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year