Iterative Method for Image Compression by Using LSPIA

被引：0
|
作者：
Hu, Lijuan [1 ]
Yi, Yeqing [1 ]
Liu, Chengzhi [2 ]
Li, Juncheng [2 ]
机构：
[1] School of Information, Hunan University of Humanities, Science and Technology, Loudi,417000, China
[2] School of Mathematics and Finance, Hunan University of Humanities, Science and Technology, Loudi,417000, China
来源：
IAENG International Journal of Computer Science | 2020年 / 47卷 / 04期
关键词：
Digital storage - Numerical methods - Least squares approximations - Image compression - Interpolation - Iterative methods;
D O I：
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学科分类号：
摘要：
In this paper, the curve fitting by cubic B-spline curves is used to compress gray-level images. The fitting tool is the progressive and iterative approximation method for least square fitting (LSPIA), which is used to approximate scanned image data. Different from the existing methods by using piecewise curves, the image data are fitted by a single curve. Hence it can well preserve the relative information between neighborhood pixels. In particular, to reduce the compression ratio, we further exploit some techniques to save storage space. Numerical implements show that the proposed method outperforms the existing methods by using fitting curves. © 2020. All Rights Reserved.
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