Artifact-free JPEG decompression with Total Generalized Variation

VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications

Volumn 1, Issue , 2012, Pages 12-21

  Bredies, Kristian ^a   Holler, Martin ^a  

^a UNIVERSITY OF GRAZ   (Austria)

Author keywords

Artifact free JPEG decompression; Image reconstruction; Total generalized variation

Indexed keywords

ARTIFACT-FREE JPEG DECOMPRESSION; CONSTRAINED MINIMIZATION PROBLEM; GENERALIZED VARIATION; JOINT PHOTOGRAPHIC EXPERTS GROUP; JPEG COMPRESSED IMAGES; NEW MODEL; OPTIMAL SOLUTIONS; PARALLEL IMPLEMENTATIONS; PRIMAL DUAL ALGORITHMS; REAL-TIME APPLICATION; REGULARITY PROPERTIES; SOURCE IMAGES; VISUAL RECONSTRUCTION;

ALGORITHMS; APPLICATION PROGRAMMING INTERFACES (API); IMAGE RECONSTRUCTION;

COMPUTER VISION;

EID: 84862152894     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Alter, F., Durand, S., and Froment, J. (2005). Adapted total variation for artifact free decompression of JPEG images. Journal of Mathematical Imaging and Vision, 23:199-211.
2. Bredies, K. and Holler, M. (2011). A total-variationbased JPEG decompression model. Submitted for publication. Preprint available at http://math.unigraz.at/mobis/publications.html.
3. Bredies, K., Kunisch, K., and Pock, T. (2010). Total generalized variation. SIAM Journal on Imaging Sciences, 3(3):492-526.
4. Bredies, K. and Valkonen, T. (2011). Inverse problems with second-order total generalized variation constraints. In Proceedings of SampTA.
5. Caselles, V., Chambolle, A., and Novaga, M. (2007). The discontinuity set of solutions of the TV denoising problem and some extensions. Multiscale Model. Simul., 6:879-894.
6. Chambolle, A. and Pock, T. (2011). A first-order primaldual algorithm for convex problems with applications to imaging. Journal of Mathematical Imaging and Vision, 40:120-145.
7. Dawgbyte77 (2008). http://www.flickr.com/photos/dawgbyte77/3052164481/.
8. Frigo, M. and Johnson, S. G. (2005). The design and implementation of FFTW3. Proceedings of the IEEE, 93(2):216-231. Special issue on "Program Generation, Optimization, and Platform Adaptation".
9. Kartalov, T., Ivanovski, Z. A., Panovski, L., and Karam, L. J. (2007). An adaptive POCS algorithm for compression artifacts removal. In 9th International Symposium on Signal Processing and Its Applications, pages 1-4.
10. Nikolova, M. (2000). Local strong homogeneity of a regularized estimator. SIAM J. Appl. Math., 61:633-658.
11. Nosratinia, A. (2001). Enhancement of JPEG-compressed images by re-application of JPEG. The Journal of VLSI Signal Processing, 27:69-79.
12. NVIDIA (2008). NVIDIA CUDA programming guide 2.0. NVIDIA Cooperation.
13. OpenMP Architecture Review Board (2011). Openmp application program interface, version 3.1. http://www.openmp.org.
14. Ring, W. (2000). Structural properties of solutions to total variation regularization problems. M2AN Math. Model. Numer. Anal., 34:799-810.
15. Shen, M.-Y. and Kuo, C.-C. J. (1998). Review of postprocessing techniques for compression artifact removal. Journal of Visual Communication and Image Representation, 9(1):2-14.
16. Singh, S., Kumar, V., and Verma, H. K. (2007). Reduction of blocking artifacts in JPEG compressed images. Digital Signal Processing, 17(1):225-243.
17. Wallace, G. K. (1991). The JPEG still picture compression standard. Commun. ACM, 34(4):30-44.
18. Weerasinghe, C., Liew, A. W.-C., and Yan, H. (2002). Artifact reduction in compressed images based on region homogeneity constraints using the projection onto convex sets algorithm. IEEE Transactions on Circuits and Systems for Video Technology, 12(10):891-897.
19. Zhong, S. (1997). Image coding with optimal reconstruction. In International Conference on Image Processing, volume 1, pages 161-164.
20. Zou, J. J. and Yan, H. (2005). A deblocking method for BDCT compressed images based on adaptive projections. IEEE Transactions on Circuits and Systems for Video Technology, 15(3):430-435.