Title :
Lossy Compression of CFA Image Based on Multiwavelet Packet
Author :
Zheng, Jing ; Zhang, QiGui ; Zhang, XueMei
Author_Institution :
Dept. of Comput. Eng., Shanxi Vocational Polytech. Coll., Taiyuan, China
Abstract :
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 2 db higher than JPEG2000 at bit rate 1 and is 0.7 db higher than JPEG2000 at bit rate 2.
Keywords :
data compression; image coding; wavelet transforms; Bayer image; CFA image correlation; JPEG2000; SPIHT algorithm; data correlation; demosaicking-first scheme; frequency band; image quality; lossy compression; multiwavelet packet transform; wavelet coefficient; zerotree coding; Bit rate; Color; Educational institutions; Filters; Frequency; Image coding; Sensor arrays; Space technology; Transform coding; Wavelet packets; Bayer pattern; SPIHT; coefficients shuffling; multiwavelet packet;
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3744-3
DOI :
10.1109/IAS.2009.355
