CAJ | 학술논문

数字图像压缩在数据通信、存储中有着重要的作用，是信息技术中非常活跃的研究领域。本文利用小波变换，经过量化和熵编码，实现数字图像的压缩，并从阈值和量化级数两个方面对压缩效果进行了比较。其中，阈值的增大会导致压缩比增大，但是复原图像质量下降。而量化级数越多，则复原后的图像质量也越高，但是压缩率越低。
수자도상압축재수거통신、존저중유착중요적작용，시신식기술중비상활약적연구영역。본문이용소파변환，경과양화화적편마，실현수자도상적압축，병종역치화양화급수량개방면대압축효과진행료비교。기중，역치적증대회도치압축비증대，단시복원도상질량하강。이양화급수월다，칙복원후적도상질량야월고，단시압축솔월저。
Digital image compression is very important in digital communication and storage. It is an active field in information technology. This paper uses the wavelet transform, through the quantization and entropy coding, to realize the image compression. The compression performance is analyzed in terms of compression threshold and quantization order. When the threshold increases, the impression ratio also increases, but the restored image will have worse quality. On the other hand, when the quantization order increases, the restored image will have better quality, but the compression ratio will decrease.