The week's pick
Reseach Article
Removal of Blocking Artifacts using Various Filtering Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 48 - Number 24 |
| Year of Publication: 2012 |
| Authors: Parmjeet Kaur, Poonam Sethi |
10.5120/7527-0470
|
Parmjeet Kaur, Poonam Sethi . Removal of Blocking Artifacts using Various Filtering Techniques. International Journal of Computer Applications. 48, 24 ( June 2012), 11-18. DOI=10.5120/7527-0470
Abstract
Imageprocessing is the method for processing various kinds of images, processed images can be stored conveniently and transmission of such kind of images from one place to another place becomes easy to the user. By using image compression method we are able to represent the image with lesser number of bits. By using image compressiontechnique we canreducethe bandwidth and the volume of the data to be transmitted. Different types ofimages can be processed and we can reduce blocking artifacts up to acceptable level. Some standard techniques MPEG and JPEG are used in image processing field. Some other types of images like GIF, JPG and PNG are used. Lossless compression is used for medical image compression because whole information is necessary for analysis, even a single bit loss is not bearable. Lossy image compression technique is used in photographic images because loss of bits is bearable. When we compress any kind of image by lossy type of image compression technique then there will be loss of bits, and when we want to recover such kind of image then we face problem of blurring of images, which is sometimes called as the annoying problem of blocking artifacts. To recover original image back we can use decompressionfollowedbythe different filtering methods. We can compare these filtering techniques on the basis of the MATLAB simulation results. Various Parameters can be compared like PSNR,MSE and BER.
References
- 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.
- Sukhwinder Singh, Vinod Kumar, H. K. Verma, "Reduction of blocking artifacts inJPEG compressed images", Digital Signal Processing, Vol. 17, pp. 225–243, Jan. 2007.
- 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.
- 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.
- 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.
- 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.
- Wang Rui, Lin Jiangli, Li Deyu, "Edge Enhancement and Filtering of Medical Ultrasonic Images using a Hybrid Method", ICBBE Bioinformatics and BiomedicalEngineering, Vol. 1, pp. 876 – 879, July 2007.
- I. O. Kirenko, R. Muijs, L. Shao, "New method forthe reduction of artifacts in MPEG compressed video sequences", IEEE Multimedia & Expo. , Vol. 7, No. 1, pp. 469-472, Dec. 2006.
- 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.
- Ju Jia ZouAnd Hong Yan, "A Deblocking Method For BDCT Compressed Images Based On Adaptive Projections", IEEE Transactions On Circuits And Systems For Video Technology, Vol. 15, No. 3, pp 430-435, March 2005.
- M. I. Khalil, "Image Compression Using New Entropy Coder", International Journal of Computer Theory and Engineering, (1793-8201), Vol. 2, No. 1, pp39-41 February 2010.
- M. Mitreaa, F. Preteuxb, Vlada and Fetitab, "The 2d-Dct Coefficient Statistical Behaviour A Comparative Analysis On Different Types Of Image Sequences", Journal Of Optoelectronics And Advanced Materials Vol. 6, No. 1, pp. 95-102, March 2004.
- Janaki. R and Dr. Tamilarasi, "Enhanced ROI (Region of Interest Algorithms) for Medical Image Compression", International Journal of Computer Applications (0975 – 8887) Volume 38– No. 2, pp 38-43, January 2012.
- Fang Zhu , "Blocking Artifacts Reduction in Compressed data", International Conference on Computer Engineering and Applications, IPCSIT, vol. 2, pp. 1-5, 2011.
- Stefan Winkler And Praveen Mohandas, "The Evolution Of Video Quality Measurement From PSNR To Hybrid Metrics", IEEE Trans. Broadcasting Vol. 54, No. 3, pp. 1-9, September 2008.
- Dr. Anil Kumar Sharma And Yunus Mohammed Pervej, "Simulation And Analysis Of Digital Video Watermarking Using MPEG-2", International Journal On Computer Science And Engineering (IJCSE), ISSN : 0975-3397, Vol. 3, No. 7, Pp. 2700-2706 , July 2011.
- Dr. H. B. Kekre, "Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform", International Journal of Computer Applications (0975 – 8887) Volume 32– No. 6, pp 39-43, October 2011.
- V. Santhi and Dr. Arunkumar Thangavelu, "DWT-SVD Combined Full Band Robust Watermarking Technique for Color Images in YUV Color Space", International Journal of Computer Theory and Engineering, (1793-8201), Vol. 1, No. 4, pp. 424-429, October 2009.
- Zhi-Heng Zhou and Sheng-Li Xie, "Sigmoid Function Activated Blocking Artifacts Reduction Algorithm", Springer-Verlag Berlin Heidelberg , K. Li, and G. W. Irwin (Eds. ), ICIC, LNCIS. 345, pp. 507-516, 2006.
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