跳到主要导航 跳到搜索 跳到主要内容

Linear regression models for DCT domain approximate filtering and deblurring

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

This paper presents two linear regression models by exploring the relationships between DCT coefficients of the original image and filtered image. The first model is to scale the DCT coefficients of the original image in order to approximate the operation of 2-D spatial domain filtering. The second model is to predict the original image from the filtered image in a similar manner. We show that the first model is used for DCT domain filtering, while the second model can be used for fast DCT domain image deblurring. Both of them are easy to implement on compressed formats of DCT-based compression methods (JPEG, MPEG, H.26X) by using decoding quantization tables that are different from the encoding quantization tables.

源语言英语
主期刊名2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
805-808
页数4
DOI
出版状态已出版 - 2008
活动2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Hannover, 德国
期限: 23 6月 200826 6月 2008

出版系列

姓名2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

会议

会议2008 IEEE International Conference on Multimedia and Expo, ICME 2008
国家/地区德国
Hannover
时期23/06/0826/06/08

学术指纹

探究 'Linear regression models for DCT domain approximate filtering and deblurring' 的科研主题。它们共同构成独一无二的指纹。

引用此