Title :
A coding method of Bayer pattern image based on Wyner-Ziv structure
Author :
Cheng Yongqiang ; Liang Yanchao ; Hao Runfang
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
A three-channel distributed codec for Bayer pattern image is proposed based on Wyner-Ziv structure in this paper. First, Bayer pattern image is separated and converted into four component images by changing its structure, and three of them are transformed into frequency domain by the discrete cosine transform. The remaining one and the second component image will be side information after being compressed according to JPEG-LS. We extended the Lloyd algorithm and designed a optimal quantizier over all the codec according to Lagrangian cost function. The discrete cosine transform coefficients quantized in each channel are encoded independently by employing Slepian-wolf coder. At the decoder, the side information is available and Bayer pattern image is reconstructed. The experiments show the proposed method can improve rate-distortion performance of Bayer pattern image codec at high rate.
Keywords :
codecs; data compression; discrete cosine transforms; image coding; quantisation (signal); Bayer pattern image; JPEG-LS; Lagrangian cost function; Lloyd algorithm; Slepian-Wolf coder; Wyner-Ziv structure; discrete cosine transform; frequency domain; image coding method; image separation; optimal quantizier; rate-distortion performance; side information; three-channel distributed codec; Bayer pattern; Image coding; Side information; Wyner-Ziv codec;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526273