Titlebook: Iterative Identification and Restoration of Images; Reginald L. Lagendijk,Jan Biemond Book 1991 Springer Science+Business Media New York 1

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書目名稱Iterative Identification and Restoration of Images影響因子(影響力)




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書目名稱Iterative Identification and Restoration of Images網(wǎng)絡(luò)公開(kāi)度




書目名稱Iterative Identification and Restoration of Images網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Iterative Identification and Restoration of Images被引頻次




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書目名稱Iterative Identification and Restoration of Images年度引用




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書目名稱Iterative Identification and Restoration of Images讀者反饋




書目名稱Iterative Identification and Restoration of Images讀者反饋學(xué)科排名

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The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/i/image/476568.jpg

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978-1-4613-6778-9Springer Science+Business Media New York 1991

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CURB

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Image Formation Models,neration, formation and recording. It may even be argued that the ultimate goal of image restoration, that is the recovery of the original undistorted image, can only be understood and formulated through the use of mathematical models which reflect in one way or another the a priori information one

內(nèi)閣

Regularized Image Restoration,and the image formation process. The purpose of image restoration can now be formulated as the estimation of an improved image . of the original image . when a noisy blurred version . given by . is observed. In Chapters 3 through 5 we assume that the blurring matrix . is known. Further, some statist

incite

Iterative Image Restoration,al classical restoration filters can be classified as Tikhonov-Miller regularized methods. In this chapter we will consider the use of iterative methods in image restoration. Iterative procedures offer the advantage that no matrix inverses need to be implemented, and that additional deterministic co

水獺

Image Restoration with Ringing Reduction,ould be used to stabilize the inversion of the ill-conditioned blurring matrix . and to suppress the noise magnification in this way. As a result another type of error occurred in the restored images, namely the regularization error. Restoration algorithms are often criticized because of these artif