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A novel image compression technology based on vector quantisation and linear regression prediction
Connection Science ( IF 5.3 ) Pub Date : 2020-08-14
Shuying Xu, Chin-Chen Chang, Yanjun Liu

In the information age, a digital image is an important media for people’s daily interactions. Looking to maintain the quality of the restored image, how to maximise the compression of images has become a challenging topic. Vector quantisation (VQ) compression is an easy-operating image compression method that can compress images to 1/16th of the original size. Based on VQ compresses, a novel image compression method is proposed in this paper. The proposed scheme compresses the image depending on the result of linear regression prediction which can significantly increase the compression ratio.



中文翻译:

基于矢量量化和线性回归预测的新型图像压缩技术

在信息时代,数字图像是人们日常互动的重要媒体。为了维持恢复的图像的质量,如何最大程度地压缩图像已成为一个具有挑战性的话题。矢量量化(VQ)压缩是一种易于操作的图像压缩方法,可以将图像压缩到原始大小的1/16。基于VQ压缩,提出了一种新的图像压缩方法。所提出的方案根据线性回归预测的结果来压缩图像,这可以显着提高压缩率。

更新日期:2020-08-14
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