• DocumentCode
    1849365
  • Title

    Bit-length expansion by inverse quantization process

  • Author

    Taguchi, Akira ; Nishiyama, Johji

  • Author_Institution
    Dept. of Biomed. Eng., Tokyo City Univ., Tokyo, Japan
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    1543
  • Lastpage
    1547
  • Abstract
    Color bit-length (i.e., resolution of signal amplitude) is an important attribute to image quality. The bit-length is decided by the quantization of image capture devices. The precision in various image capture devices limits the color bit-length and introduces loss in visual quality. Expanding the bit-length is important image enhancement issue. For example, the bit-length expansion technique is necessity for the high-quality display such as the liquid crystal display (LCD) and the plasma display. Since, these displays have more the 10-bit resolution for each color component. However, in general, color image signals are defined by 8bit resolution for each component. Moreover, the bit-length expansion technique is also necessary for low bit-length captured images. If we expand bit-length of these images by using most bit-length expanding algorithms, pseudo contouring effect is observed in smooth gradient area. The bit-length expansion process and inverse quantization process are equivalent. Inverse quantization is able to perform by suitable filtering. In this paper, the bit-length expansion method using a nonlinear filter with adaptive window size is proposed. We show the excellent bit-length expanded results are obtained by the proposed method.
  • Keywords
    image colour analysis; image enhancement; nonlinear filters; LCD; adaptive window size; bit-length captured images; color bit-length expansion technique; color image signals; high-quality display; image capture device quantization; image enhancement; image quality; inverse quantization process; liquid crystal display; nonlinear filter; plasma display; pseudo contouring effect; suitable filtering; visual quality; word length 10 bit; word length 8 bit; Adaptive filters; Color; Filtering; Image color analysis; Image resolution; PSNR; Signal resolution; adaptive window size filtering; bit-length expansion; pseudo contour;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6333954