標題: Never image compression method using edge-oriented classifier and novel predictive noiseless coding method
作者: Lee, CH
Chen, LH
資訊工程學系
Department of Computer Science
關鍵字: edge-oriented classifier;image compression;quadtree decomposition;vector quantisation
公開日期: 1-十二月-1997
摘要: A new image compression approach is proposed in which variable block size technique is adopted, using quadtree decomposition, for coding images at low bit rates. In the proposed approach, low-activity regions, which usually occupy large areas in an image, were coded with a larger block size and the block mean is used to represent each pixel in the block, To preserve edge integrity, the classified vector quantisation (CVQ) technique is used to code high-activity regions. A new edge-oriented classifier without employing any thresholds is proposed for edge classification. A novel predictive noiseless coding (NPNC) method which exploits the redundancy between neighbouring blocks is also presented to efficiently code the mean values of low-activity blocks and the addresses of edge blocks. The bit rates required for coding the mean values and addresses can be significantly reduced by the proposed NPNC method. Experimental results show that excellent reconstructed images and higher PSNR were obtained.
URI: http://hdl.handle.net/11536/176
ISSN: 1350-245X
期刊: IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING
Volume: 144
Issue: 6
起始頁: 361
結束頁: 368
顯示於類別:期刊論文


文件中的檔案:

  1. 000073869400007.pdf