3D Balance Quantization Encoding Based on Variable Size Matrix Segmentation

摘要：

Variable size matrix segmentation and variable size transform are used in the colour image compression methods based on three dimensional matrix widely discrete cosine transform (3DMWDCT). However the coefficients have different statistical properties since different areas of an image and difference size blocks have difference energy centralization. 3D balance quantization based human visual system was proposed in this paper. After dividing the original colour image into variable sized sub-three dimensional matrices according to the activity characteristics of the image, the variable sized 3DMWDCT is applied to the corresponding sized sub three dimensional matrices. DCT coefficients were 3D balance quantized through non-linear scalar quantization and entropy coding. Experimental results show that the compression efficiency of the proposed algorithm is better than that of JPEG. Compared with JPEG, the proposed algorithm improves PSNR at most 2dB, and the quality of the reconstructed image is improved in subject evaluation too.

关键词： Balance Quantization three dimensional matrix variable size segment image encoding

作者: Aijun Sang Hexin Chen Moncef Gabbouj

作者单位: Department of Communication Engineering Jilin University 130022,Changchun,China Faculty of Computing Department of Communication Engineering Jilin University 130022,Changchun,China Faculty of Computing Electrical Engineering Tampere University of Technology,33720,Tampere,Finland

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）