基于人眼视觉系统的自适应小波图像编码算法

A New Image Coding Based on Adaptive Wavelet Transform and Human Visual System

本文提出了一种基于自适应小波分解与人眼视觉系统的低比特率图像压缩编码算法,该算法具有以下特点:(1)以子带能量为判别标准,能够根据图像内容进行自适应形式的小波分解;(2)建立了人眼视觉系统的掩蔽模型,并据此给出了全新的小波系数自适应量化策略。仿真实验表明:本文算法是一种高效的图像压缩算法,不仅其压缩效果明显优于JPEG2000、EZW、FWP等小波域图像压缩算法(特别是低比特率下),而且可广泛适用于不同特征的数字图像。

In this paper, a new image coding algorithm with low bit-rate based on adaptive wavelet transform and human visual system is presented. Unlike many previous wavelet coders, the adaptive wavelet transform based on sub-image energy is utilized, and the adaptive wavelet coefficient quantization strategy based on novel visual masking model is adopted in our compression algorithm, The experiment results show that the new image compression scheme performs better than that of the state-of-art image coders （JPEG2000, EZW, FWP）reported in the literature, especially for low bit-rate.