A Review of Various Transform Domain Digital Image Fusion for Multifocus Colored Images
Автор: Arun Begill, Sankalap Arora
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 12 Vol. 7, 2015 года.
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Image fusion is the idea to enhance the image content by fusing two or more images obtained from visual sensor network. The main goal of image fusion is to eliminate redundant information and merging more useful information from source images. Various transform domain image fusion methods like DWT, SIDWT and DCT, ACMax DCT etc. are developed in recent years. Every method has its own advantages and disadvantages. ACMax Discrete cosine transform (DCT) is very efficient approach for image fusion because of its energy compaction property as well as improve quality of image. Furthermore, this technique has also some disadvantages like color artifacts, noise and degrade the sharpness of edges. In this paper ACMax DCT method is integrated with saturation weighting and Joint Trilateral filter to get the high quality image and compare with traditional methods. The results have shown that ACMax DCT with Saturation weighting and Joint Trilateral filter method has outperformed the state of art techniques.
Discrete cosine transform (DCT), Discrete wavelet transform (DWT), Image fusion, Saturation weighting, Joint trilateral filter
Короткий адрес: https://sciup.org/15012414
IDR: 15012414
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