小波变换图像编码中的逆量化技术研究  

Reasearch on Dequantization in Wavelet Based Image Coding

作　　者：黄国平[1] 吴建华[1] 

机构地区：[1]南昌大学信息工程学院,江西南昌330029

出　　处：《南昌大学学报（工科版）》2005年第1期64-67,共4页Journal of Nanchang University(Engineering & Technology)

摘　　要：量化和逆量化是图像编码中重要的步骤.在现行被大多数图像编码技术如JPEG、EZW、JPEG2000所采用的均匀量化方案中,逆量化值一般取每个量化区间的中点值.然而,因为小波系数的不均匀分布,中点值可能不是最佳值.在本文中,一种自适应选择逆量化值算法被提出来,从而改进基于小波的图像解码质量.实验表明我们的算法简单和有效.Quantization and inverse quantization are important steps in image coding. Generally the inverse quantization value takes the midpoint of each quantization interval in uniform quantization schemes currently adopted by most image coding techniques, such as JPEG, EZW, or JPEG 2000. However it may not be the best choice because of the uneven distribution of the wavelet coefficients. In this paper, a new algorithm to adaptively select the inverse quantization values is proposed to improve wavelet-based image decoding. Experiments show the simplicity and effectiveness of our algorithm.

关 键 词：小波变换 逆量化 图像编码 

分 类 号：TN911.73[电子电信—通信与信息系统]