Academic Journal

Image Representations Using Multiscale Differential Operators

التفاصيل البيبلوغرافية
العنوان: Image Representations Using Multiscale Differential Operators
المؤلفون: Wang Yu-ping
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://wavelets.math.nus.edu.sg/~wyp/download_papers/Edgespline.ps.gz.
سنة النشر: 1998
المجموعة: CiteSeerX
مصطلحات موضوعية: Computer vision, Image representation, Edge detection, B-splines, Wavelet, Scalespace
الوصف: Differential operators have been widely used for multiscale geometric descriptions of images. The efficient computation of these differential operators is always desirable. Moreover, it has not been clear whether such representations are invertible. For certain applications, it is usually required that such representations should be invertible so that one can facilitate the processing of information in the transform domain and then recover it. In this paper, such problems are studied. We consider multiscale differential representations of images using different types of operators such as the directional derivative operators and Laplacian operators. In particular, we provide a general approach to represent images by their multiscale and multi-directional derivative components. For practical implementation, efficient pyramid-like algorithms are derived using spline technique for both the decomposition and reconstruction of images. It is shown that using these representations various mean.
نوع الوثيقة: text
وصف الملف: application/postscript
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.6672; http://wavelets.math.nus.edu.sg/~wyp/download_papers/Edgespline.ps.gz
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.6672
http://wavelets.math.nus.edu.sg/~wyp/download_papers/Edgespline.ps.gz
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.2A47CBCF
قاعدة البيانات: BASE