• DocumentCode
    1783665
  • Title

    An Optimal Modification BTC Scheme Based on Binary Search Tree

  • Author

    Chia-Chen Lin ; Xiao-Long Liu ; Jian-Jie Zhou ; Shyan-Ming Yuan

  • Author_Institution
    Dept. of Comput. Sci. & Inf., Providence Univ., Taichung, Taiwan
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    With the purpose of improving the visual quality of an original block truncation coding (BTC) compressed image, an optimal modified BTC scheme (OMBTC) is proposed. The binary search tree (BST) technique is utilized to determine the optimal quantization of each image block. The proposed scheme is compared with several existing modification BTC schemes, the experimental results demonstrate that the proposed scheme can preserve high image quality after compression.
  • Keywords
    data compression; image coding; quantisation (signal); tree data structures; BST technique; BTC compressed image; OMBTC; binary search tree; image quality; optimal image block quantization; optimal modified BTC scheme; original block truncation coding; visual quality improvement; Binary search trees; Computer science; Educational institutions; Image coding; PSNR; Quantization (signal); Visualization; binary search tree (BST); block truncation coding (BTC); image compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-5389-9
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2014.35
  • Filename
    6998281