摘要
JPEG2000是一种具有高效压缩性能的图像压缩标准,但抗差错能力和安全性不能满足实际应用要求。基于此,提出一种基于混沌冗余和阈值控制的联合算术码双向编译码快速算法,在编码端保留多个冗余符号,用混沌系统控制冗余符号的比例增强算术码编码的安全性;在译码端采用阈值控制和双向译码相结合,实现基于最大后验概率的联合快速译码。仿真结果表明,所提算法相对现有算法改善了重建图像质量,同时降低译码复杂度,具有良好的抗差错性和安全性。
Although the JPEG2000 compression standard has high coding efficiency, its error resistance and security can’t meet the requirements of practical application. Based on this, a fast bidirectionally-decodable arithmetic coding method with chaotic redundancy and threshold control was proposed. At the encoder, the chaotic map controlled the probabilities of multiple redun-dant symbols to enhance the security of arithmetic coding. At the decoder, threshold control and bidirectional decoding were combined to realize fast decoding based on maximum a posteriori estimation. Simulation results show that the proposed method improves the reconstructed image quality with better error resistance and security.
出处
《通信学报》
EI
CSCD
北大核心
2018年第2期105-113,共9页
Journal on Communications
基金
国家自然科学基金资助项目(No.61571416
No.61271282)
中国科学院奖励基金资助项目(No.2017-06-17)~~
关键词
加密抗差错算术码
混沌映射
阈值控制
双向译码
JPEG2000
secure error resistant arithmetic coding, chaotic map, threshold control, bidirectional decoding, JPEG2000