Combined Techniques Of Singular Value Decomposition and Vector Quantization For Image Coding

Jar Ferr Yang, Chiou Liang Lu

研究成果: Article同行評審

79 引文 斯高帕斯(Scopus)

摘要

The combination of singular value decomposition (SVD) and vector quantization (VQ) is proposed as a compression technique to achieve low bit rate and high quality image coding. Given a codebook consisting of singular vectors, two algorithms, which find the best-fit candidates without involving the complicated SVD computation, are described. Simulation results show that the proposed methods are better than the discrete cosine transform (DCT) in terms of energy compaction, data rate, image quality, and decoding complexity.

原文English
頁(從 - 到)1141-1146
頁數6
期刊IEEE Transactions on Image Processing
4
發行號8
DOIs
出版狀態Published - 1995 8月

All Science Journal Classification (ASJC) codes

  • 軟體
  • 電腦繪圖與電腦輔助設計

指紋

深入研究「Combined Techniques Of Singular Value Decomposition and Vector Quantization For Image Coding」主題。共同形成了獨特的指紋。

引用此