2010
DOI: 10.1117/1.3452321
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Morphological skeleton decomposition interframe interpolation method

Abstract: The interframe interpolation method presented consists of partial changing, using the growing size of structuring elements, of the morphological skeleton decomposition subsets of a binary input or grayscale frame with the morphological skeleton decomposition subsets of a binary output or grayscale frame. One of the interpolated frames obtained by this method is similar to the reference frame. Computer simulations illustrate the results. © 2010 SPIE and IS&T.

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Cited by 53 publications
(18 citation statements)
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“…With the development of imaging tools and endovascular devices [11], endovascular treatment has become a standard method for the treatment of intracranial aneurysms [7,11,12]. Various endovascular treatment strategies have been reported in treating giant vertebrobasilar aneurysms, including proximal occlusion of the parent artery, internal trapping, and stent techniques.…”
Section: Discussionmentioning
confidence: 99%
“…With the development of imaging tools and endovascular devices [11], endovascular treatment has become a standard method for the treatment of intracranial aneurysms [7,11,12]. Various endovascular treatment strategies have been reported in treating giant vertebrobasilar aneurysms, including proximal occlusion of the parent artery, internal trapping, and stent techniques.…”
Section: Discussionmentioning
confidence: 99%
“…The algorithm can also distinguish between intentional tampering and unintentional mild to moderate JPEG compression. Mathematical morphology can be used to improve the detection results [25][26][27][28][29]. Our method can also be used for other multimedia applications [30][31][32][33][34][35][36][37][38][39][40][41][42][43].…”
Section: Introductionmentioning
confidence: 92%
“…So those methods cannot work effectively and, therefore, an effective signal processing method is necessary for removing the noise of the mixed signal. Recently, an effective method named morphological signal processing has been introduced into the field of noise removal [11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%