DocumentCode
3480557
Title
Intra prediction method based on the linear relationship between the channels for YUV 4∶2∶0 intra coding
Author
Lee, Sang Heon ; Cho, Nam Ik
Author_Institution
Sch. of Electr. Eng., Seoul Nat. Univ., Seoul, South Korea
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
1037
Lastpage
1040
Abstract
In general, the transformation from RGB to YUV color space reduces the correlation between the channels. But some sources in the YUV space still have strong inter-channel correlation, which can be modeled as a linear function. Based on this linear model, we propose a new intra chrominance prediction method for color image compression in YUV 4:2:0 color space. A block of chrominance pixels to be encoded is predicted from the reconstructed luminance signal using the proposed prediction scheme and the residual is encoded based on the H.264/AVC. Also, an implicit prediction method that can obviate the transmission of side information is proposed. The experimental results show that there are about 0.35~1.0 dB gains for the luminance (Y) channel, and 0.5~3.0 dB gains for the chrominance (Cb or Cr) channels at the medium to high bit-rates. The proposed method also shows some gains at the low bit-rates.
Keywords
channel coding; data compression; image colour analysis; image reconstruction; prediction theory; video coding; H.264/AVC; RGB transformation; YUV 4:2:0 intra coding; YUV color space; chrominance channels; chrominance pixels; color image compression; implicit prediction method; interchannel correlation; intra chrominance prediction method; linear function model; luminance channel; luminance signal reconstruction; Automatic voltage control; Color; Compression algorithms; Decorrelation; Image coding; Motion pictures; Parameter estimation; Prediction methods; Predictive models; Video compression; Inter-Channel Correlation; Intra Coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5413727
Filename
5413727
Link To Document