Image Compression Using Hybrid Approach and Adaptive Scanning for Color Images

  • Ayush Kumar NigamEmail author
  • Priyank Khare
  • Vinay Kumar Srivastava
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 587)


This paper aims at the design of an algorithm for image compression. For color images RGB components are extracted and converted to YCbCr as a preprocessing step and then block based Hybrid Transform is performed. After this preprocessing step image is quantized and projected lossless scanning is done to ensure the excellent quality of the recovered image. In this paper adaptive scanning approach is anticipated to compress the length of codeword to be transmitted and thus achieving higher compression ratios. Principle behind image compression is to reduce the number of bits required per pixel.


Discrete cosine transform (DCT) Adaptive scanning Discrete wavelet transform (DWT) 


  1. 1.
    Douak, F., Benzid, R., Benoudjit, N.: Department of Electronics, Faculty of Engineering, University of Batna, Batna 05000, Algeria. Color image compression algorithm based on the DCT transform combined to an adaptive block scanning. Int. J. Electron. Commun. (AEU) 65, 16–26 (2011)CrossRefGoogle Scholar
  2. 2.
    Raid, A.M., Khedr, W.M., El-dosuky, M.A., Ahmed, W.: Mansoura University, Faculty of Computer Science and Information System Zagazig University, Faculty of Science. JPEG Image Compression Using Discrete Cosine Transform A Survey. Int. J. Comput. Sci. Eng. Surv. (IJCSES) 5(2) (2014)Google Scholar
  3. 3.
    Messaoudi, A., Srairi, K.: Colour image compression algorithm based on the DCT transform using difference lookup table. Electron. Lett. 52(20), 1685–1686 (2016)CrossRefGoogle Scholar
  4. 4.
    Rabbani, M., Joshi, R.: Eastman Kodak Company, Rochester, NY 14650, USA. An overview of the JPEG2000 still image compression standard. Signal Process.: Image Commun. 17, 3–48 (2002)Google Scholar
  5. 5.
    Skodras, A., Christopoulos, C., Ebrahimi, T.: The JPEG 2000 still image compression standard. IEEE Signal Process. Mag. 18(5), 36–58 (2001)CrossRefGoogle Scholar
  6. 6.
    Ebrahimi, F., Chamik, M., Winkler, S.: JPEG versus JPEG 2000: an objective comparison of image encoding quality. In: Applications of Digital Image Processing XXVII, vol. 5558. International Society for Optics and Photonics (2004)Google Scholar
  7. 7.
    Verma R.L., Ojha, D., Gupta, P., Gupta, M.: Excellence of DCT-DWT a hybrid approach for image compression. Int. J. Electr., Electron. Data Commun. 1, ISSN (P): 2320-2084 (2013)Google Scholar
  8. 8.
    Deshlahra, A., Shirnewar, G.S., Sahoo, A.K.: A comparative study of DCT, DWT & hybrid (DCT-DWT) transform (2013)Google Scholar
  9. 9.
    Gautam, B.: Image compression using discrete cosine transform & discrete wavelet transform. Department of Computer Science and Engineering, National Institute of Technology, Rourkela (2010)Google Scholar
  10. 10.
    Saroya, N., Kaur, P.: Analysis of image compression algorithm using DCT and DWT transforms. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(2) (2014)Google Scholar
  11. 11.
    Kurniawan, A., Purboyo, T.W., Prasasti, A.L.: Implementation of Image Compression Using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). Int. J. Appl. Eng. Res. 12(23), 13951–13958 (2017)Google Scholar
  12. 12.
    Rafael, C., Gonzalez, R.E., Woods, S.L.: Digital Image Processing, Pearson Edition (2005)Google Scholar
  13. 13.
    Cabeen, K., Gent, P.: Image compression and the discrete cosine transform. College of the Redwoods (1998)Google Scholar
  14. 14.
    DeVore, Ronald A., Jawerth, B., Lucier, Bradley J.: Image compression through wavelet transform coding. IEEE Trans. Inf. Theory 38(2), 719–746 (1992)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Barbhuiya, A.J.I., Laskar, T.A., Hemachandran, K.: An approach for color image compression of JPEG and PNG images using DCT and DWT. In: 2014 International Conference on Computational Intelligence and Communication Networks (CICN), IEEE (2014)Google Scholar
  16. 16.
    Verma, R.L., et al.: Excellence of DCT-DWT: a hybrid approach for image compression. Int. J. Electr. Electron. Data Commun. 1, 2084–2320 (2013)Google Scholar
  17. 17.
    Huffman, D.A.: A method for the construction of minimum-redundancy codes. Proc. IRE 40(9), 1098–1101 (1952)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ayush Kumar Nigam
    • 1
    Email author
  • Priyank Khare
    • 1
  • Vinay Kumar Srivastava
    • 1
  1. 1.Department of Electronics & Communication EngineeringMNNITAllahabadIndia

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