A Coding Method of Bayer Pattern Image Based on Wyner-Ziv Structure

Based on Wyner-Ziv (WZ) codec structure, a four-channel distributed codec methods for Bayer pattern image is proposed. First, Bayer pattern image is separated and converted into four component image, and each component image is transformed into frequency domain by Discreted Cosine Transform (DCT). According to the convergence of Lagrangian cost function, an universal optimal quantizier is designed by Lloyd iterative algorithm. The quantized DCT coefficients in each channel are encoded independently by employing Slepian-Wolf (SW) coder. At the side of decoder, the side information is generated from illumination component image and available for the SW decoder and the inverse quantizier. Finally, the Bayer pattern image is rebuilt at the side of decoder. The experiments show that the proposed method can improve rate-distortion performance of Bayer pattern image codec at high rate.