首页> 外文会议>International Conference on Audio, Language and Image Processing >Fast Image Resizing in Discrete Cosine Transform Domain with Spatial Relationship between DCT Block and its Sub-Blocks
【24h】

Fast Image Resizing in Discrete Cosine Transform Domain with Spatial Relationship between DCT Block and its Sub-Blocks

机译:在离散余弦变换域中调整的快速图像,具有DCT块及其子块之间的空间关系

获取原文

摘要

This paper presents a computational scalable approach to resize images by factors of P/Q×R/S in the discrete cosine transform (DCT) domain. Our resizing approach is based on the framework proposed by Mukherjee and Mitra which employs the spatial relationship between a DCT block and its sub-blocks. To simplify integration with block based coders such as JPEG and MPEG, N×N DCT blocks are discussed throughout this work. Our observation of the spatial relationship between a DCT block and its sub-blocks resulted in reduction of the computational cost to resize images. Also, we have suggested using up-sampled DCT blocks smaller than N×N to further reduce computational cost.
机译:本文介绍了通过在离散余弦变换(DCT)域中的P / Q×R / S的因素来调整图像大小的计算可扩展方法。我们的调整方法基于Mukherjee和Mitra提出的框架,该框架采用DCT块及其子块之间的空间关系。为了简化与基于块的编码器(例如JPEG和MPEG)的集成,在整个工作中讨论了N×N DCT块。我们观察DCT块与其子块之间的空间关系导致减少计算成本以调整图像的大小。此外,我们建议使用小于n×n的上采样的DCT块来进一步降低计算成本。

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