【24h】

Fast Fractal Image Compression Using Fuzzy Classification

机译:基于模糊分类的快速分形图像压缩

获取原文

摘要

To overcome the long encoding time consuming problem of the existing fractal image compression methods, this paper presents an improved image blocks classification method. The classification features are six parameters of edge image blocks, including the number of edge pixels, the proportion between conjoint edge pixels and all edge pixels, means and variances of horizontal coordinates and vertical coordinates of edge pixels. And a fuzzy pattern classifier is utilized to classify the original image blocks. The experiments results show the validity of the presented approach in accelerating fractal encoding process and in holding the quality of the decoding image.
机译:为了克服现有的分形图像压缩方法编码时间长的问题,提出了一种改进的图像块分类方法。分类特征是边缘图像块的六个参数,包括边缘像素的数量,联合边缘像素与所有边缘像素之间的比例,边缘像素的水平坐标和垂直坐标的均值和方差。然后利用模糊模式分类器对原始图像块进行分类。实验结果证明了该方法在加速分形编码过程和保持解码图像质量方面的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号