A differential image compression method using adaptive parameterized extrapolation
- 作者: Gashnikov M.V.1
-
隶属关系:
- Samara National Research University
- 期: 卷 26, 编号 2 (2017)
- 页面: 137-144
- 栏目: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/194974
- DOI: https://doi.org/10.3103/S1060992X17020023
- ID: 194974
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详细
The paper deals with an image compression method using differential pulse-code modulation (DPCM) with an adaptive extrapolator capable of adjusting itself to local distinctions of image contours (boundaries). A negative effect of quantization on the optimization of the adaptive extrapolator is investigated. Even so the experiment has shown that the use of an adaptive extrapolator is more effective than the use of prototypes. We have studied the method as a whole with close consideration given to the coding of the quantized signal. The maximal error criterion and a Waterloo grey set of real patterns are used to compare the method with the JPEG technique.
作者简介
M. Gashnikov
Samara National Research University
编辑信件的主要联系方式.
Email: mih-fastt@yandex.ru
俄罗斯联邦, Samara
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