DCT BASED MULTI FOCUS IMAGE FUSION
2016-08-23
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Multi-focus image fusion in wireless visual sensor networks
(WVSN) is a process of fusing two or more images to obtain
a new one which contains a more accurate description of the
scene than any of the individual source images. In this letter, we
propose an efficient algorithm to fuse multi-focus images or videos
using discrete cosine transform (DCT) based standards inWVSN.
The spatial frequencies of the corresponding blocks from source
images are calculated as the contrast criteria, and the blocks with
the larger spatial frequencies compose the DCT presentation of the
output image. Experiments on plenty of pairs ofmulti-focus images
coded in Joint Photographic Experts Group (JPEG) standard are
conducted to evaluate the fusion performance. The results show
that our fusion method improves the quality of the output image
visually and outperforms the previous DCT based techniques and
the state-of-art methods in terms of
(WVSN) is a process of fusing two or more images to obtain
a new one which contains a more accurate description of the
scene than any of the individual source images. In this letter, we
propose an efficient algorithm to fuse multi-focus images or videos
using discrete cosine transform (DCT) based standards inWVSN.
The spatial frequencies of the corresponding blocks from source
images are calculated as the contrast criteria, and the blocks with
the larger spatial frequencies compose the DCT presentation of the
output image. Experiments on plenty of pairs ofmulti-focus images
coded in Joint Photographic Experts Group (JPEG) standard are
conducted to evaluate the fusion performance. The results show
that our fusion method improves the quality of the output image
visually and outperforms the previous DCT based techniques and
the state-of-art methods in terms of
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