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PENDETEKSIAN TINGKAT KABUR PADA GAMBAR MENGGUNAKAN WAFELET TRANSFORM

Liliana, and Gunadi, Kartika and HUTAMA, DENNY PUJO (2012) PENDETEKSIAN TINGKAT KABUR PADA GAMBAR MENGGUNAKAN WAFELET TRANSFORM. In: Seminar Nasional Komputer dan Elektro 2012, 10-03-2012 - 10-03-2012, Surakarta - Indonesia.

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    Abstract

    Taking pictures using digital camera often produces images blurred. Unfocussed lens and object movement when capture the photo, cause the blur effect. Blur is often not able to be clearly perceived by human eye. It takes a good detection of image blurring an important area today. This detection is driven by the need to produce satisfy images with good quality. The detection level of blur is also useful to provide guidance if it will be manipulated using photo manipulation that aims to reduce the blur effect. In this research, we try to make an application to the detection of blurred images by using wavelet. This detection process begins with Haar Wavelet, continue with counting Emap and construct local maxima. Last step is calculating blur of the image using the local maxima calculation. The test results showed that the blurred image can be detected and quantified the blur level. In addition to the lens and motion or hand shaking, light intensity and composition of the image itself also affect the level of blur. This is due to the calculation of the number of edges of objects in this method.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: blur, blur detection, Wavelet Transform, Haar Wavelet Transform, construct emap, local maxima.
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Divisions: Faculty of Industrial Technology > Informatics Engineering Department
    Depositing User: Admin
    Date Deposited: 03 Oct 2012 18:23
    Last Modified: 03 Oct 2012 18:23
    URI: http://repository.petra.ac.id/id/eprint/15824

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