@inproceedings{db6bc10eb5664876993fdfb62e98324e,
title = "Image resizing enhancement with DCT coefficients",
abstract = "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.",
keywords = "DCT Coefficients, Image Processing, Image Scaling, PSNR",
author = "Chan, {Ka Hou} and Im, {Sio Kei} and Wei Ke",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; 12th International Conference on Machine Vision, ICMV 2019 ; Conference date: 16-11-2019 Through 18-11-2019",
year = "2020",
doi = "10.1117/12.2559364",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wolfgang Osten and Dmitry Nikolaev and Jianhong Zhou",
booktitle = "12th International Conference on Machine Vision, ICMV 2019",
address = "United States",
}