CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Blocking Artifacts Reduction in Block based Discrete Cosine Transform Compressed Images

by Parmjeet Kaur, Poonam Sethi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 6
Year of Publication: 2012
Authors: Parmjeet Kaur, Poonam Sethi
10.5120/5697-7741

Parmjeet Kaur, Poonam Sethi . Blocking Artifacts Reduction in Block based Discrete Cosine Transform Compressed Images. International Journal of Computer Applications. 42, 6 ( March 2012), 19-24. DOI=10.5120/5697-7741

@article{ 10.5120/5697-7741,
author = { Parmjeet Kaur, Poonam Sethi },
title = { Blocking Artifacts Reduction in Block based Discrete Cosine Transform Compressed Images },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 6 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number6/5697-7741/ },
doi = { 10.5120/5697-7741 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:41.734804+05:30
%A Parmjeet Kaur
%A Poonam Sethi
%T Blocking Artifacts Reduction in Block based Discrete Cosine Transform Compressed Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 6
%P 19-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image compression is a technique to reduce the volume of information to be transmitted. Compression technique reduces the bandwidth and the volume of the information to be transmitted. We can compress audio signal, video signal, text, fax and images. For medical images lossless compression is used and for other types lossy compression can be used. For compressing an image we can use the DCT technique. But after compression during decompression and recovering original image from compressed image we can face problem of blocking artifacts. Various methods can be used for removing blocking artifacts. One of them is DCT filtering. Further for getting better results we can remove blocking artifacts by spatial and hybrid filtering method. Our experimental results shows that hybrid filtering gives better performance on the bases of better PSNR, BER and MSE.

References
  1. Nikolay N. Ponomarenko, Karen O. Egiazarian, Vladimir V. Lukin, "High-Quality DCT-Based Image Compression Using Partition Schemes", IEEE Signal Processing Letters, Vol. 14, No. 2, pp. 105-108, Feb. 2007.
  2. Sukhwinder Singh, Vinod Kumar, H. K. Verma, "Reduction of blocking artifacts in JPEG compressed images", Digital Signal Processing, Vol. 17, pp. 225–243, Jan. 2007.
  3. Ekaterina BarzykinaRabab K. Ward ,"Removal of Blocking Artifacts using Random Filtering", IEEEimage processing, Vol. 2, pp. 904-908, oct. 1999.
  4. Amjed S. Al-Fahoum and Ali M. Reza, "Combined Edge Crispiness and Statistical Differencing for Deblocking JPEG Compressed Images", IEEE Transactions on Image Processing, Vol. 10, No. 9, pp. 1057–7149, Sep. 2001.
  5. Massinio Mancuso, Monica Besana, RinaldoPoluzzi, "A new post processing algorithm To reduce block artifacts in block coded images", IEEE Microelectronics, Vol. 43, pp. 303-307, Aug. 1997.
  6. Shizhong Liu, Student Member, and Alan C. Bovik, Fellow,"Efficient DCT-Domain Blind Measurement and Reduction of Blocking Artifacts", IEEE Circuits & Systems for video Technology, Vol. 12, No. 12, pp. 1139-1149, Dec. 2002.
  7. F. M. Bayer and R. J. Cintra Member, "Image Compression via a Fast DCT Approximation", IEEE Latin America Transactions, Vol. 8, No. 6, pp. 708-713, Dec. 2010.
  8. Ephraim Feigand Heidi Peterson IBM Research Yorktown Heights, NY, "Image Compression using spatial prediction",ICASSP, Vol. 4, pp. 2339-2342, May 1995.
  9. Ee-Leng Tan1, Woon-Seng Gan1 and Meng-Tong Wong, "Fast Image Resizing in Discrete Cosine Transform Domain with Spatial Relationship between DCT Block and Its Sub-Blocks", IEEE ICALIP, Vol. 1, pp. 1683-1687, July 2008.
  10. G. A. Triantafyllidis, D. Tzovaras, D. Sampson, and M. G. Strintzis, "A hybrid algorithm for, the removal of blocking artifacts", IEEE Multimedia & Expo. , Vol. 1, pp. 161-164, Nov. 2002.
  11. Sang-Jun Park and JechangJeong, Member, "Hybrid Image Up sampling Method in the Discrete Cosine Transform Domain",IEEE Transactions on Consumer Electronics, Vol. 56, No. 4, pp. 2615-2622, Nov. 2010.
  12. Wang Rui, Lin Jiangli, Li Deyu, "Edge Enhancement and Filtering of Medical Ultrasonic Images using a Hybrid Method", ICBBE Bioinformatics and Biomedical Engineering, Vol. 1, pp. 876 – 879, July 2007.
  13. I. O. Kirenko, R. Muijs, L. Shao,"New method for the reduction of artifacts in MPEG compressed video sequences", IEEE Multimedia & Expo. ,Vol. 7,No. 1, pp. 469-472, Dec. 2006.
  14. Shuanhu Wu, Hong Yan, and Zheng Tan,"An Efficient Wavelet-Based Deblocking Algorithm for Highly Compressed Images", IEEE Transactions on Circuits & Systems for Video Technology. ,Vol. 11, No. 11, pp. 1193-1198, Nov. 2001.
  15. Ying Luo and Rabab K. Ward, Fellow, "Removing the Blocking Artifacts of Block-Based DCT Compressed Images", IEEE Transactions on ImageProcessing, Vol. 12, No. 7, pp. 838-842, July 2003.
  16. Kawaldeep Singh,Parveen Kumar, "Algorithm for Blocking Artifact Detection & Reduction using adaptive filtering in Compressed Images", IJAEST, Vol. 5, No. 2, pp. 156-162, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Dct Spatial Filtering Hybrid Filtering Jpeg Blocking Artifacts Image Compression Mse Ber Psnr

Powered by PhDFocusTM