• DocumentCode
    1618204
  • Title

    Designing JPEG quantization tables based on human visual system

  • Author

    Long-Wen Chang ; Ching-Yang Wang ; Shiuh-Ming Lee

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • Volume
    2
  • fYear
    1999
  • Firstpage
    376
  • Abstract
    In this paper, a quantization table based on the human visual system is designed for the baseline JPEG coder. By incorporating the human visual system with the uniform quantizer, a perceptual quantization table is derived. The quantization table is easy to adapt to the specified resolution for viewing and printing. Experimental results indicate that the HVS-based quantization table can achieve improvements in PSNR about 0.2-2.0 dB without increasing the complexity in both encoder and encoder.
  • Keywords
    image coding; quantisation (signal); JPEG coder; JPEG quantization; complexity; human visual system; perceptual quantization; Computer science; Discrete cosine transforms; Frequency conversion; Humans; Image coding; PSNR; Printing; Quantization; Transform coding; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-5467-2
  • Type

    conf

  • DOI
    10.1109/ICIP.1999.822921
  • Filename
    822921