Lossy Compression of CFA Image Based on Multiwavelet Packet

摘要：

A lossy compression scheme for Bayer images is proposed in this paper. Recently, it was found that compression-first schemes outperform the conventional demosaicking-first schemes in terms of output image quality. Balanced multiwavelet packet transforms effectively remove CFA image correlation between frequency bands. Wavelet coefficients shuffling exploring subband correlation makes it suitable for zerotree coding. Improved SPIHT algorithm further exploits data correlation in different direction under the same resolution using one symbol to denote three zerotrees while the SPIHT algorithm using three symbols. The simulation results show that: proposed compression scheme at low bit rate compared with JPEG2000 has better performance, and low complexity. CPSNR is 2dB higher than JPEG2000 at bit rate 1 and is 0.7dB higher than JPEG2000 at bit rate 2.

关键词： Bayer pattern coefficients shuffling multiwavelet packet SPIHT

作者: jing Zheng QiGui Zhang XueMei Zhang

作者单位: Shanxi Vocational Poly-tech College Department of Computer Engineering Taiyuan,China Taiyuan University of Technology College of Information Engineering Taiyuan,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 223-226

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）