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...

Full description

Saved in:
Bibliographic Details
Main Authors QU, SHENG, SU, GUAN-MING, KOEPFER, HUBERT, YUAN, YUFEI, HULYALKAR, SAMIR
Format Patent
LanguageChinese
English
Published 26.09.2014
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PICTORIAL COMMUNICATION, e.g. TELEVISION
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:Application Number: HK20140107015