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  • 标题:Grayscale Image Compression Based on Min Max Block Truncating Coding
  • 本地全文:下载
  • 作者:Hilal Almarabeh ; Khalil Barhoum ; Majdi Ahed
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:6
  • 出版社:IJCSI Press
  • 摘要:This paper presents an image compression techniques based on block truncating coding. In this work, a min max block truncating coding (MM_BTC) is presented for grayscale image compression relies on applying dividing image into non-overlapping blocks. MM_BTC differ from other block truncating coding such as block truncating coding (BTC) in the way of selecting the quantization level in order to remove redundancy. Objectives measures such as: Bit Rate (BR), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Redundancy (R), were used to present a detailed evaluation of MM_BTC of image quality.
  • 关键词:BTC; MM_BTC; Bit Rate; MSE; PSNR
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