A novel image decompression technique using image restoration and coefficient fusion

作者:Zuo Zhiyong; Hu Jing; Deng Lihua; Zuo Zhiyong; Lan Xia; Wang Xiaoping; Cheng Zhao
来源:PROCEEDINGS OF THE 2014 International Symposium on Information Technology (ISIT 2014), 2014-10-14 to 2014-10-16.

摘要

Due to the increasing traffic cased by multimedia information and digitized form of representation of images; image compression has become a necessity. Wavelet transform which has the ability to analyze signals in different scales is widely used in lossy image compression, while more and more image detail will be thrown away with the increase of the compression ratio (CR). In order to overcome this drawback, in this paper we incorporate image restoration and coefficient fusion techniques into the decompression procedure, and propose a novel image decompression technique. We restore part of high-frequency coefficient by using image restoration with the low-frequency component, new high-frequency components are next retrieved by fusing the restored high-frequency and the corresponding original high-frequency, and then the reconstructed image is last obtained by applying the inverse wavelet transform to the new coefficient map which is generated through combing the original low-frequency with the retrievable high-frequency components. Finally, a set of experiments and performance evaluation are provided to assess the effectiveness of the proposed method.

  • 出版日期2015
  • 单位中国人民解放军空军装备研究院; 中国空间技术研究院