0000000000749768

AUTHOR

Ias Sri Wahyuni

showing 4 related works from this author

Multi-focus image fusion using local variability

2018

In this thesis, we are interested in the multi-focus image fusion method. This technique consists of fusing several captured images with different focal lengths of the same scene to obtain an image with better quality than the two source images. We propose an image fusion method based on Laplacian pyramid technique using Discrete Wavelet Transform (DWT) as a selection rule. We then develop two multi-focus image fusion methods based on the local variability of each pixel. It takes into account the information in the surrounding pixel area. The first method is to use local variability as an information in the Dempster-Shafer theory. The second method uses a metric based on local variability. …

Multi-Focus image fusionLa variabilité locale[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]La transformée en ondelettes discrèteLes pyramidales LaplaciennesLa fusion d'images multi focalesLa théorie de Dempster-ShaferLocal variabilityLaplacian pyramidDempster-Shafer theoryDiscrete Wavelet Transform
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Local Distance and Dempster-Dhafer for Multi-Focus Image Fusion

2022

This work proposes a new method of fusion image using Dempster-Shafer theory and local variability (DST-LV). This method takes into account the behaviour of each pixel with its neighbours. It consists in calculating the quadratic distance between the value of the pixel I (x, y) of each point and the value of all the neighbouring pixels. Local variability is used to determine the mass function defined in DempsterShafer theory. The two classes of Dempster-Shafer theory studied are : the fuzzy part and the focused part. The results of the proposed method are significantly better when comparing them to results of other methods.

[SPI] Engineering Sciences [physics]fusion imagesMulti-focus-imagesDempster-Shafer Theory[MATH] Mathematics [math]local distancefusion images.[INFO] Computer Science [cs]Computer Science::Artificial IntelligenceSignal & Image Processing : An International Journal
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Multi-focus image fusion using Laplacian Pyramid technique based on Alpha-Stable filter

2019

International audience

[STAT]Statistics [stat][SPI]Engineering Sciences [physics][SPI] Engineering Sciences [physics][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST][MATH] Mathematics [math][MATH]Mathematics [math][MATH.MATH-ST] Mathematics [math]/Statistics [math.ST][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing[STAT] Statistics [stat]
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Wavelet Decomposition in Laplacian Pyramid for Image Fusion

2016

International audience; The aim of image fusion is to combine information from the set of images to get a single image which contains a more accurate description than any individual source image. While the scene contains objects in different focus due to the limited depth-of-focus of optical lenses in camera then by using image fusion technique we can get an image which has better focus across all area. In this paper, a multifocus image fusion method using combination Laplacian pyramid and wavelet decomposition is proposed. The fusion process contains the following steps: first, the multifocus images are decomposed using Laplacian pyramid into several levels of pyramid. Then at each level o…

[ MATH ] Mathematics [math][STAT]Statistics [stat][PHYS]Physics [physics][SPI]Engineering Sciences [physics][ PHYS ] Physics [physics][ STAT ] Statistics [stat]Computer Science::Computer Vision and Pattern Recognition[ SPI ] Engineering Sciences [physics]laplacian pyramidwavelet decomposition[MATH]Mathematics [math]image fusion
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