• DocumentCode
    3092612
  • Title

    Coding of Mosaic Image Based on Wavelet Sub-band Substitute

  • Author

    Cheng, Yongqiang ; Zhang, Xueying ; Wen, Junhai

  • Author_Institution
    Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    679
  • Lastpage
    683
  • Abstract
    In this paper, we propose a visual lossless compression scheme of mosaic image based on wavelet sub-band substitute. The proposed compression scheme consists of three coding pipelines: green component lossless coder, red component near-lossless coder and blue component near-lossless coder. Firstly, full resolution green image which is demosaiced from raw mosaic image is produced and green mosaic image is losslessly coded by LOCO-I scheme designed by Weinberger. Then low frequency sub-bands of red and blue mosaic component are also coded by LOCO-I while their high frequency sub-bands are ignored. In the decoder, the high frequency sub-bands of red and blue mosaic component are taken from the high frequency sub-bands of full resolution green image which locate at the same position as raw red or blue mosaic image, so we can reconstruct raw red or blue mosaic image based on decoded low frequency sub-bands of red and blue mosaic component. Consequently, we can encode mosaic images at low complexity level at higher compression ratio. Compared with JPEG2000, the performance of proposed method is apparently better.
  • Keywords
    data compression; image coding; image colour analysis; optical filters; video codecs; wavelet transforms; JPEG2000; LOCO-I scheme; blue component lossless coder; green component lossless coder; mosaic image coding; red component lossless coder; visual lossless compression scheme; wavelet subband substitute; Arrays; Image coding; Image color analysis; Image resolution; Pipelines; Pixel; Transform coding; Bayer image; coding; sub-band substitute; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8043-2
  • Electronic_ISBN
    978-0-7695-4180-8
  • Type

    conf

  • DOI
    10.1109/PCSPA.2010.169
  • Filename
    5636095