MULTIPLE COLOR CHANNEL MULTIPLE REGRESSION PREDICTOR

Inter-color image prediction is based on multi-channel multiple regression (MMR) models. Image prediction is applied to the efficient coding of images and video signals of high dynamic range. MMR models may include first order parameters, second order parameters, and cross-pixel parameters. MMR mode...

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Main Authors QU, SHENG, SU, GUAN-MING, KOEPFER, HUBERT, YUAN, YUFEI, HULYALKAR, SAMIR
Format Patent
LanguageChinese
English
Published 26.09.2014
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Abstract Inter-color image prediction is based on multi-channel multiple regression (MMR) models. Image prediction is applied to the efficient coding of images and video signals of high dynamic range. MMR models may include first order parameters, second order parameters, and cross-pixel parameters. MMR models using extension parameters incorporating neighbor pixel relations are also presented. Using minimum means-square error criteria, closed form solutions for the prediction parameters are presented for a variety of MMR models.
AbstractList Inter-color image prediction is based on multi-channel multiple regression (MMR) models. Image prediction is applied to the efficient coding of images and video signals of high dynamic range. MMR models may include first order parameters, second order parameters, and cross-pixel parameters. MMR models using extension parameters incorporating neighbor pixel relations are also presented. Using minimum means-square error criteria, closed form solutions for the prediction parameters are presented for a variety of MMR models.
Author HULYALKAR, SAMIR
KOEPFER, HUBERT
QU, SHENG
YUAN, YUFEI
SU, GUAN-MING
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DocumentTitleAlternate 多顏色通道多元回歸預測算子
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Snippet Inter-color image prediction is based on multi-channel multiple regression (MMR) models. Image prediction is applied to the efficient coding of images and...
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SubjectTerms ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PICTORIAL COMMUNICATION, e.g. TELEVISION
Title MULTIPLE COLOR CHANNEL MULTIPLE REGRESSION PREDICTOR
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