Edge Detection in Radar Images Using Weibull Distribution

El-Zaart, Ali; Al-Jibory, Wafaa Kamel

doi:10.5121/csit.2013.3309

Cited by 3 publications

(1 citation statement)

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“…To fulfill this task in this paper three different methods are used: Weibull Edge Detector [2,3,9,10], Singular Value Decomposition [4] and Discrete Wavelet Transform [5]. This is not the only problem worth solving using these techniques, another problems such as data compression for fast transmission, be it video, voice-recording or images can be solved using the techniques used to compress images, but it is of our concern in this paper the image compression.…”

Section: Introductionmentioning

confidence: 99%

Using computer algebra to perform image compression with wavelet transform and SVD

Díaz

2014

SPIE Proceedings

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Computer Algebra Software, especially Maple and its Image Tools package, is used to develop image compression using the Weibull distribution, Wavelet transform application and Singular Value Decomposition (SVD). For prototyping of the image compression process, Maple packages, Linear Algebra, Array Tools and Discrete Transform are used simultaneously with Image Tools image processing package. The image compression process implies the realization of matrix computing with high dimension matrices, and Maple software develops those operations easily and efficiently. Some image compression experiments are done, and the matrix dimension for minimum information needed to store an image is shown clearly, also the matrix dimension of redundant information. Implementation of algorithms for image compression in other computer algebra systems such as Mathematica and Maxima is proposed as future investigation path. Also it is proposed the use of curvelet transform as a tool for image compression

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Section: Introductionmentioning

confidence: 99%