Skip to main content

Improving Image Quality for JPEG Compression

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Abstract

JPEG is a well-known method for digital image compression. The drawback of JPEG is distortion to image quality by truncation errors from quantizing the DCT coefficients. Another problem is the damage on the extracted watermarks from JPEG compression for the spatial-domain watermarks. In this paper, we proposed an improved method to enhance the quality of the decompressed image. The purpose of our proposed method is to adjust the reconstructed DCT coefficients closed as their original values. The coefficient adjustment blocks are used to guide the decompression operation during the coefficient reconstruction. Experimental results show that the proposed method has indeed made the image quality improvement as comparing to the images in the traditional method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ahmed, N., Natarajan, T., Rao, K.P.: Discrete cosine transform. IEEE Transactions on Computers C-23, 90–93 (1974)

    Article  MathSciNet  Google Scholar 

  2. Monro, D.M., Sherlock, B.G.: Optimum DCT quantization. In: Proceedings of Data Compression Conference, March & April 1993, pp. 188–194 (1993)

    Google Scholar 

  3. Pan, F.: Adaptive image compression using local pattern information. Pattern Recognition Letters 23, 1837–1845 (2002)

    Article  MATH  Google Scholar 

  4. Park, S.C., Kang, M.G., Segall, C.A., Katsaggelos, A.K.: Spatially adaptive highresolution image reconstruction of dct-based compressed images. IEEE Transactions on Image Processing 13(4), 573–585 (2004)

    Article  Google Scholar 

  5. Rao, K.R., Hwang, J.J.: Techniques and standards for image, video and audio coding. Prentice Hall, Upper Saddle River (1996)

    Google Scholar 

  6. Ratnakar, V., Livny, M.: RD-OPT: An efficient algorithm for optimizing DCT quantization tables. In: Proceedings for Data Compression Conference, March 1995, pp. 332–341 (1995)

    Google Scholar 

  7. Ratnakar, V., Livny, M.: An efficient algorithm for optimizing DCT quantization. IEEE Transactions on Image Processing 9(2), 267–270 (2000)

    Article  Google Scholar 

  8. Shohdohji, T., Hoshino, Y., Kutsuwada, N.: Optimization of quantization table based on visual characteristics in DCT image coding. Computers and Mathematics with Applications 37, 225–232 (1999)

    Article  MATH  Google Scholar 

  9. Wallace, G.K.: The JPEG still picture compression standard. IEEE Transactions on Consumer Electronics 38(1), xviii–xxxiv (1992)

    Google Scholar 

  10. Watson, A.B.: Visually optimal DCT quantization matrices for individual images. In: Proceedings of Data Compression Conference, March & April 1993, pp. 178–187 (1993)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chang, CC., Chou, YC., Shen, JJ. (2005). Improving Image Quality for JPEG Compression. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_63

Download citation

  • DOI: https://doi.org/10.1007/11553939_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics