Survey on Feature Extraction of Discrete Cosine Transform(DCT)Coefficient that we use to Fuse two Images

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Zahraa A. AL-Rashid
Tawfiq A. AL-Assadi

Abstract

Background:Image fusion based on the Discrete Cosine Transform (DCT) is a method employed to fuse multiple images into a single composite image. This technique enhances visual quality and extracts valuable information from the input images.


Materials and Methods: The Discrete Cosine Transform (DCT) is a commonly utilized transformation technique in signal processing and image compression. It offers a means to represent an image about its frequency components.


Results: The outcome of image fusion is a composite image that fusion the input images while maintaining crucial details and extracting valuable information. Through the application of the average fusion rule to the DCT coefficients of the source images, the fused image is generated. This outcome generally enhances visual quality.


Conclusion: The fused image combined all the important information in both images. The quality of the resulting image is superior to the quality of the input images. This one image has all the relevant information and is more accurate and informative than any image from a single source.

Article Details

How to Cite
[1]
“Survey on Feature Extraction of Discrete Cosine Transform(DCT)Coefficient that we use to Fuse two Images”, JUBPAS, vol. 31, no. 4, pp. 113–127, Jan. 2024, doi: 10.29196/v9j55r96.
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Articles

How to Cite

[1]
“Survey on Feature Extraction of Discrete Cosine Transform(DCT)Coefficient that we use to Fuse two Images”, JUBPAS, vol. 31, no. 4, pp. 113–127, Jan. 2024, doi: 10.29196/v9j55r96.

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