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Information Entropy Algorithm for Image and Video Signal Processing

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DOI: 10.23977/acss.2022.060401 | Downloads: 11 | Views: 543

Author(s)

Changchun Li 1

Affiliation(s)

1 Changchun College of Electronic Technology, Institute of Computer Application Technology, Changchun, Jilin, 130000, China

Corresponding Author

Changchun Li

ABSTRACT

In order to effectively improve the accuracy of image quality evaluation and analysis, an information entropy algorithm for images and videos is proposed. The algorithm completes the fusion calculation of the effective information of the image on the basis of calculating the image information entropy. In the experiment, the optimized image quality was analyzed by calculating and counting the proportion of each parameter in the image. The results show that the parameters such as gray level and smoothness of the image optimized by information entropy have been improved to a certain extent. The algorithm designed in this paper can improve the accuracy of image and video data fusion. 

KEYWORDS

Information entropy, Image quality, Data fusion, Gray scale

CITE THIS PAPER

Changchun Li, Information Entropy Algorithm for Image and Video Signal Processing. Advances in Computer, Signals and Systems (2022) Vol. 6: 1-5. DOI: http://dx.doi.org/10.23977/acss.2022.060401.

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