Image resizing enhancement with DCT coefficients

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1 Citation (Scopus)


According to the principle of scale transformation, signal expansion in the time domain corresponds to compression in the frequency domain, so that information energy is concentrated in the low frequency part. In this paper, an image enlargement algorithm based on the Discrete Cosine Transform (DCT) is proposed, which preserves the low frequency of the image and combines the corresponding enhancement coefficients to realize the resizing operation in the DCT domain. This paper also reach to proving of the enhancement value determinant. Then comparing the experiment on the scaled image with other interpolation algorithms, the result shows that our algorithm performs better than other methods. This method can also be carried out during DCT transformation, and is easier to implement than other methods.

Original languageEnglish
Title of host publication12th International Conference on Machine Vision, ICMV 2019
EditorsWolfgang Osten, Dmitry Nikolaev, Jianhong Zhou
ISBN (Electronic)9781510636439
Publication statusPublished - 2020
Event12th International Conference on Machine Vision, ICMV 2019 - Amsterdam, Netherlands
Duration: 16 Nov 201918 Nov 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Conference12th International Conference on Machine Vision, ICMV 2019


  • DCT Coefficients
  • Image Processing
  • Image Scaling
  • PSNR


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