基于小波分析的一种自适应图像压缩编码

文章在研究近年来基于小波变换的图像压缩编码方法的基础上,提出了一种自适应的小波分解方案。即在一定的能量准则下,根据子图像的能量大小决定是否进行小波分解,并由此导出自适应小波分解树和可调压比方案,然后结合自适应小波分解树的特性,给出恰当的小波系数量化、比特分配以及各层子图像的编码方案。实验表明,该文算法广泛适用于不同特征的数字图像,在较高压缩比时仍有较好的重建图像质量,而且压缩比在一定范围内可以调节。在相近压缩比的情况下,主观视觉质量和峰值信噪比都明显优于JPEG标准。

An Adaptive Method of Image Compression Based on Wavelet Analysis

After research for image compression based on wavelet analysis in recent years,this paper puts forward an adaptive wavelet decomposition strategy.That sub-images are weather to be decomposed or not is decided by their ener-gy that is defined by certain criterion.Then It derives the adaptive wavelet decomposition tree(AWDT)and the way of adjustable compression ratio.According to the feature of AWDT,this paper also deals with the different strategies which are used to different sub-images in the procedure of quantification and coding of the wavelet coefficients.Though exper-iments,not only the algorithm of this paper can adapt to various images,but also the quality of recovering image is im-proved though compression ratio is higher,and the compression ratio is adjustable.When their compression ratio are near,the quality of subjective vision and PSNR of this algorithm are better then JPEG algorithm.