Multiple color channel multiple regression predictor

Patent metadata

Field	Value
Publication number	US-2016269756-A1
Application number	US-201615163613-A
Country	US
Kind code	A1
Filing date	May 24, 2016
Priority date	Apr 14, 2011
Publication date	Sep 15, 2016
Grant date	—

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.

First claim

What is claimed is:

1 . An image decoding method with a processor, the method comprising:
receiving a first image; receiving metadata comprising prediction parameters for a multi-channel multiple-regression (MMR) prediction model, wherein the MMR model is adapted to predict a second image in terms of the first image; and applying the first image and the prediction parameters to the MMR prediction model to generate an output image approximating the second image, wherein pixel values of at least one color component of the output image are computed based on pixel values of at least two color components in the first image, wherein the MMR model comprises a first order MMR model with cross products according to the formula:
{circumflex over (v)} i =sc i {tilde over (C)} (1) +s i {tilde over (M)} (1) +n,
wherein {circumflex over (v)} i [{circumflex over (v)} i1 {circumflex over (v)} i2 {circumflex over (v)} i3 ] denotes the predicted three color components of the i-th pixel of the output image, s i =[s i1 s i2 s i3 ] denotes the three color components of the i-th pixel of the first image, {tilde over (M)} (1) is a 3×3 prediction parameter matrix and n is a 1×3 prediction parameter vector according to

M
~

(
1
)

=

[

m
11

(
1
)

m
12

(
1
)

m
13

(
1
)

m
21

(
1
)

m
22

(
1
)

m
23

(
1
)

m
31

(
1
)

m
32

(
1
)

m
33

(
1
)

]

,

and



n

=

[

n
11





n
12





n
13

]

,

{tilde over (C)} (1) is a 4×3 prediction parameter matrix according to

C
~

(
1
)

=

[

mc
11

(
1
)

mc
12

(
1
)

mc
13

(
1
)

mc
21

(
1
)

mc
22

(
1
)

mc
23

(
1
)

Assignees

• Dolby Laboratories Licensing Corp

Inventors

• Su Guan-Ming
• Qu Sheng
• Koepfer Hubert
• Yuan Yufei
• Hulyalkar Samir

Classifications

• H04N19/147

  according to rate distortion criteria (rate-distortion as a criterion for motion estimation H04N19/567) · CPC title

• H04N19/98 Primary

  Adaptive-dynamic-range coding [ADRC] · CPC title

• H04N19/103 Primary

  Selection of coding mode or of prediction mode · CPC title

• H04N19/16

  for a given display mode, e.g. for interlaced or progressive display mode · CPC title

• H04N19/192

  the adaptation method, adaptation tool or adaptation type being iterative or recursive · CPC title