使用扩散技术的边缘保存分形编码器

N. Bruner, R. Yarlagadda
{"title":"使用扩散技术的边缘保存分形编码器","authors":"N. Bruner, R. Yarlagadda","doi":"10.1109/IAI.1998.666861","DOIUrl":null,"url":null,"abstract":"Based on the correlation of self-similarity, fractal coders compress digital images by relating image blocks pairs at different scales in the images. The pairing of large to small block sizes dictates the compression ratio and the quality of the reconstructed image. Inaccurate fractal mappings at large image block sizes increase losses of edge information, discontinuities at boundaries and blocking effects. Partitioning the large block into smaller blocks overcomes these problems but significantly lowers the compression ratios. In addition, partitioning does not insure the retention of significant edges. We show how diffusion techniques can be used to overcome some of these problems while preserving significant edge information at a lower bit rate cost. By expanding the basic diffusion equation to contain a scalar function based on the edges of the original image, we can use the diffusion process to smooth along the direction of significant edges and sharpen in the direction of the edges. In this manner, we can restore edge information and smooth discontinuities and blocking effects.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"19 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Use of diffusion techniques for edge preservation for fractal coders\",\"authors\":\"N. Bruner, R. Yarlagadda\",\"doi\":\"10.1109/IAI.1998.666861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the correlation of self-similarity, fractal coders compress digital images by relating image blocks pairs at different scales in the images. The pairing of large to small block sizes dictates the compression ratio and the quality of the reconstructed image. Inaccurate fractal mappings at large image block sizes increase losses of edge information, discontinuities at boundaries and blocking effects. Partitioning the large block into smaller blocks overcomes these problems but significantly lowers the compression ratios. In addition, partitioning does not insure the retention of significant edges. We show how diffusion techniques can be used to overcome some of these problems while preserving significant edge information at a lower bit rate cost. By expanding the basic diffusion equation to contain a scalar function based on the edges of the original image, we can use the diffusion process to smooth along the direction of significant edges and sharpen in the direction of the edges. In this manner, we can restore edge information and smooth discontinuities and blocking effects.\",\"PeriodicalId\":373701,\"journal\":{\"name\":\"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)\",\"volume\":\"19 10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI.1998.666861\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.1998.666861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

分形编码器基于自相似的相关性,将图像中不同尺度的图像块对关联起来,对数字图像进行压缩。大小块大小的配对决定了压缩比和重建图像的质量。在大图像块尺寸上不准确的分形映射会增加边缘信息的损失、边界的不连续和块效应。将大块划分为小块克服了这些问题,但显著降低了压缩比。此外,分区并不能保证有效边的保留。我们展示了如何使用扩散技术来克服这些问题,同时以较低的比特率成本保留重要的边缘信息。通过将基本扩散方程展开为包含基于原始图像边缘的标量函数,我们可以利用扩散过程沿重要边缘方向平滑,沿边缘方向锐化。通过这种方式,我们可以恢复边缘信息并平滑不连续和阻塞效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of diffusion techniques for edge preservation for fractal coders
Based on the correlation of self-similarity, fractal coders compress digital images by relating image blocks pairs at different scales in the images. The pairing of large to small block sizes dictates the compression ratio and the quality of the reconstructed image. Inaccurate fractal mappings at large image block sizes increase losses of edge information, discontinuities at boundaries and blocking effects. Partitioning the large block into smaller blocks overcomes these problems but significantly lowers the compression ratios. In addition, partitioning does not insure the retention of significant edges. We show how diffusion techniques can be used to overcome some of these problems while preserving significant edge information at a lower bit rate cost. By expanding the basic diffusion equation to contain a scalar function based on the edges of the original image, we can use the diffusion process to smooth along the direction of significant edges and sharpen in the direction of the edges. In this manner, we can restore edge information and smooth discontinuities and blocking effects.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信