• DocumentCode
    3580468
  • Title

    An Approach for Color Image Compression of JPEG and PNG Images Using DCT and DWT

  • Author

    Jaffar Iqbal Barbhuiya, A.H.M. ; Laskar, Tahera Akhtar ; Hemachandran, K.

  • Author_Institution
    Dept. of Comput. Sci., Assam Univ., Silchar, India
  • fYear
    2014
  • Firstpage
    129
  • Lastpage
    133
  • Abstract
    Now a days image compression has become is an indispensible part of digitized image storage and transmission. Compression of an image is necessary before storing and transmitting it due to its limitation of storage and bandwidth capacity. Wavelet transform decomposes complexion of images into its elementary forms. In this paper, a comparative study has been carried out on image compression using DCT (Discrete Cosine Transform) and DWT (Discrete Wavelet Transform). A comparison is outlined to emphasize the results of this compression system between DCT and DWT using JPEG (Joint Photographic Experts Group) and PNG (Portable Network Graphics) color images. We have done conversion of color images into gray scale and also compression of gray scale image is shown after conversion using DWT method. DWT algorithm performs much better than DCT algorithms in terms of Compression, Mean Square Error (MSE) and Peak Signal to Noise Ratio (PNSR).
  • Keywords
    data compression; discrete cosine transforms; discrete wavelet transforms; image coding; mean square error methods; DCT; DWT; JPEG images; MSE; PNG images; PNSR; color image compression; compression system; digitized image storage; digitized image transmission; discrete cosine transform; discrete wavelet transform; joint photographic experts group; mean square error; peak signal to noise ratio; portable network graphics; Discrete cosine transforms; Discrete wavelet transforms; Image coding; PSNR; Transform coding; Compression Ratio; DCT; DWT; Huffman Coding; Image Compression; JPEG; MSE; PNG; PSNR; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.40
  • Filename
    7065459