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Titlebook: Wavelet Theory and Application; A Special Issue of t Andrew Laine Book 1993 Springer Science+Business Media New York 1993 Processing.calcul

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書目名稱Wavelet Theory and Application
副標(biāo)題A Special Issue of t
編輯Andrew Laine
視頻videohttp://file.papertrans.cn/1022/1021260/1021260.mp4
圖書封面Titlebook: Wavelet Theory and Application; A Special Issue of t Andrew Laine Book 1993 Springer Science+Business Media New York 1993 Processing.calcul
描述Finally, Moulin considers the problem of forming radar images under a diffuse-target statistical model. His estimation approach includes application of the maximum-likelihood principle and a regularization procedure based on wavelet representations. In addition, he shows that the radar imaging problem can be seen as a problem of inference on the wavelet coefficients of an image corrupted by additive noise. The aim of this special issue is to provide a forum in which researchers from the fields of mathematics, computer science, and electrical engineering who work on problems of significance to computer vision can better understand each other. I hope that the papers included in this special issue will provide a clearer picture of the role of wavelet transforms and the principles of multiresolution analysis. I wish to thank many people for their contributions and assistance in this project: Gerhard Ritter, the Editor-in-Chief of the Journal of Mathematical Imaging and Vision, who invited me to organize this issue and who provided patient guidance; the researchers who submitted papers for consideration and others who have contributed to the explosion of growth in this area; the reviewe
出版日期Book 1993
關(guān)鍵詞Processing; calculus; computer; computer vision; differential equation; digital signal processing; harmoni
版次1
doihttps://doi.org/10.1007/978-1-4615-3260-6
isbn_softcover978-1-4613-6434-4
isbn_ebook978-1-4615-3260-6
copyrightSpringer Science+Business Media New York 1993
The information of publication is updating

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Construction of Wavelet Decompositions for Tomographic Images,is isotropic. The extension of this idea to directional wavelets is also presented. The wavelet transform obtained in this case is defined with respect to a scale parameter and a rotation angle. For illustration, results on simulated and x-ray computerized tomography medical images are presented.
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Construction of Wavelet Decompositions for Tomographic Images,is isotropic. The extension of this idea to directional wavelets is also presented. The wavelet transform obtained in this case is defined with respect to a scale parameter and a rotation angle. For illustration, results on simulated and x-ray computerized tomography medical images are presented.
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,Local Cosine Transform — A Method for the Reduction of the Blocking Effect in JPEG,tes in image coding algorithms based on the discrete cosine transform (DCT). In particular, the blocking effect appears in the JPEG baseline sequential algorithm..Two types of LCT were developed: LCT-IV is based on the DCT type IV, and LCT-II is based on DCT type II, which is known as the standard D
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Image Analysis by Wavelet-Type Transforms: Group Theoretic Approach,types of groups. The wavelet approach is generalized to Lie groups that satisfy conditions of compactness and commutability and to groups that are determined in a particular way by subgroups that satisfy these conditions. These conditions are fundamental to finding the invariance measure for the adm
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Image Analysis by Wavelet-Type Transforms: Group Theoretic Approach,types of groups. The wavelet approach is generalized to Lie groups that satisfy conditions of compactness and commutability and to groups that are determined in a particular way by subgroups that satisfy these conditions. These conditions are fundamental to finding the invariance measure for the adm
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