摘要
对分形视频图像进行分层压缩,能够有效降低低码率分形视频图像传输的失真率。对低码率分形视频图像的分层压缩,需要先图像进行二维小波转换操作,在图像传输过程插入弯曲小波系数,完成图像传输的差错隐藏。传统方法对灰度图像量化表进行增加,改进视频编码中的编码器,但忽略了对图像传输小波系数的求取,导致差错隐藏精度偏低。提出低码率分形视频图像分层压缩方法,将彩色的图像进行灰度转换,利用梯度搜索将搜索结果中最大的梯度值点,和设定阈值集中的值比较,直至图像分割结束;将分割之后的图像采用迭代仿射变换实现低码率分形视频图像的压缩;对图像实施二维小波转换操作,插入弯曲小波系数,得到BANDELET表现形式,完成低码率分形视频图像的编码,提高比特率。实验结果表明,所提方法有效解决了图像传输质量差的问题。
This paper proposes a new layered compression with low bit rate. Firstly, gray conversion was carried out for color image, and gradient search was used to compare the maximum gradient value in search result with con- centrated value of set threshold until end of image segmentation. Then, iteration affine transformation was carried out for image after segmentation to achieve compression of the fractal video image with low bit rate. Two-dimensional wavelet conversion operation was carried out for image and bending wavelet coefficient was inserted to obtain pattern of manifestation of BANDELET. Thus, encoding of the fractal video image with low bit rate was completed and bit rate was improved. Simulation results show that the method can solve problem of poor transmission quality of image effec- tively.
作者
宫海晓
贺杰
耿德志
GONG Hai-xiao;HE Jie;GENG De-zhi(School of Information＆ Electronic Engineering,Wuzhou University,Wuzhou Guangxi 543002,China;Guangxi Colleges and Universities Key Laboratory of Image Processing and Intelligent Information System,Wuzhou University,Wuzhou Guangxi 543002,China;Department of Information Technology and Engineering,Jinzhong College,Jinzhong,Shanxi 030619,China)
出处
《计算机仿真》
北大核心
2018年第7期135-138,共4页
Computer Simulation
基金
广西自然科学基金资助项目(2015GXNSFAA139295
广西高校中青年教师基础能力提升项目(2017KY0631)
关键词
低码率
分形视频图像
分层压缩
Low bit rate
Fractal video image
Layered compression
