Image Classification for Quality Compression with Wavelet Filters Based on Image Feature Analysis

机译：基于图像特征分析的小波滤波质量压缩图像分类

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摘要

In this paper, we propose a method to extract features from images that may be related to their compression capability with wavelet filters - their fidelity. Based on these features, images are classified into three different classes corresponding to their fidelity: low, medium and high. We have found this classification schema is effective and can be used as a guideline for selecting wavelet filter for the images in the low fidelity class.

机译：在本文中，我们提出了一种从图像中提取特征的方法，这些特征可能与小波滤波器的压缩能力-保真度有关。基于这些特征，图像根据其保真度分为三类：低，中和高。我们发现这种分类方案是有效的，并且可以用作为低保真度等级的图像选择小波滤波器的指南。

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来源
《2002 6th International Conference on Signal Processing Proceedings (ICSP'02) Vol.1; Aug 26-30, 2002; Beijing, China》|2002年|p.921-924|共4页
会议地点 Beijing(CN);Beijing(CN)
作者
Ronny Tjahyadi; Wanquan Liu;
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作者单位

Department of Computer Science, Curtin University of Technology, GPO Box U1987, Perth WA 6845, Australia;

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原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
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3. Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis [J] . Wen Zhijie, Li Zhuojun, Peng Yaxin, Pattern recognition letters . 2016,第auga1期

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6. Wavelets filtering for classification of very noisy electron microscopic single particles images- application on structure determination of VP5-VP19C recombinant [O] . Ali Samir Saad 2003

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Image Classification for Quality Compression with Wavelet Filters Based on Image Feature Analysis

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