首页> 外文OA文献 >Quadtree-based classification in subband image coding
【2h】

Quadtree-based classification in subband image coding

机译:子带图像编码中基于四叉树的分类

摘要

Classification of blocks of subband samples according to their energy and variable bit allocation within the subsequent classes has demonstrated considerable gains in coding efficiency. The gains due to classification increase as smaller blocks are used; however, this increases the overheads for transmitting the classification information. In this paper, a quadtree based method is proposed. This method allows for more efficient classification by using variable-sized blocks in order to maximize the classification gain, while maintaining a limit on the classification overheads. This method is applied for subband coding of images and the results indicate that it performs better than the other methods currently available in the literature.
机译:在随后的类别中,根据子带样本块的能量和可变位分配对子带样本块进行分类已显示出编码效率的显着提高。随着使用较小的块,归因于分类的增益增加;但是,这增加了发送分类信息的开销。本文提出了一种基于四叉树的方法。该方法通过使用可变大小的块来实现更有效的分类,以最大化分类增益,同时保持对分类开销的限制。该方法用于图像的子带编码,结果表明它比文献中当前可用的其他方法表现更好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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