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 :
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