The Application of laCLA Model to Adaptive Image Quantization

摘要：

　　The quantization scheme proposed in this paper uses a nonlinear transform to exploit the visual masking such as brightness masking and contrast masking,etc.Its based on the IaCLA model derived from the intra-band masking.The application of the proposed strategy to JPEG2000 coding framework is presented,and the experimental results show the proposed approach can efficiently protect low amplitude wavelet coefficient and discriminate the simple edge even in the smooth region.

关键词： laCLA model Adaptive quantization JPEG 2000 EBCOT algorithm

作者: Yuan Jiang Lushen Wu Tao Huang

作者单位: School of Information Engineering, Nanchang University, China;School of Mechatronics Engineering, Na School of Mechatronics Engineering, Nanchang University, China School of Information Engineering, Nanchang University, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 782-786

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）