基于小波变换的图像压缩方法研究

图像压缩是为适应特殊应用场合或为得到一个较好的视觉效果,例如突出某些细节,常常需要一种可以有效改变已有图像大小的方法,使图像压缩后仍然有较高的质量。本文采用一维小波变换和二维小波变换方法,将图像信息分解成低频和高频两部分,通过压缩算法,将图像数据重构成一幅信息完整的新图像。实验表明,采用本算法压缩后的新图像符合客观实际,图像数据信息丰富。

The Research of Image Compression Based on the Wavelet Transform

Image compression is to adapt to specific applications or get a better visual effect,for example,highlighting some of the details,usually need a effective way to change the image size so that the image compressed image quality is still high.In this paper,using wavelet transform two-dimensional one-dimensional wavelet transform and wavelet transform,the image information down into two parts,low and high frequencies through the compression algorithm,the image data re-form a complete new image information.Experiments show that this new image compression algorithm is more objective reality,image-rich data.