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- W2349594559 abstract "A model updating algorithm is proposed for support vector machine(SVM) based color image sequence restoration.The image quality is calculated for each frame of a degraded image sequence.The quality variances of the image sequence are counted.The variance difference is applied as the judgment criterion of the model selection in the restoration.The SVM based color image restoration algorithm is extended and can be applied to restore sequential images.In the simulation experiments,the testing images are degraded by motion blur,which is a common degradation type in video surveillance and intelligent transportation related fields.Experimental results show that the proposed algorithm can effectively mark out the key frames of an image sequence which are degraded most significantly.The restoration efficiency is improved and the restoration algorithm becomes more pertinent." @default.
- W2349594559 created "2016-06-24" @default.
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- W2349594559 date "2009-01-01" @default.
- W2349594559 modified "2023-09-23" @default.
- W2349594559 title "A Model Updating Algorithm for Support Vector Machine Based Color Image Sequence Restoration" @default.
- W2349594559 hasPublicationYear "2009" @default.
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