Recovery of missing blocks in image using alternating projections
 |
International Journal of Recent Engineering Science (IJRES) |  |
| © 2014 by IJRES Journal | ||
| Volume-1 Issue-1 |
||
| Year of Publication : 2014 | ||
| Authors : R.Sangari, A.Susi |
||
| DOI : 10.14445/23497157/IJRES-V1I1P101 |
How to Cite?
R.Sangari, A.Susi, "Recovery of missing blocks in image using alternating projections," International Journal of Recent Engineering Science, vol. 1, no. 1, pp. 1-6, 2014. Crossref, https://doi.org/10.14445/23497157/IJRES-V1I1P101
Abstract
This paper handles the missing block recovery algorithms based on projections for block based image coding. The algorithms consider here are Alternating Projections method, Hamming Inpaint method and Euclidean Inpaint method. For corruption of blocks occurring at the time of file sending via network can also be restored using those techniques. The alternating projection method is working based on orthogonal projection onto constraint sets in a Hilbert space. The basic idea behind in Hamming Inpaint method and Euclidean Inpaint method are to fill the missing regions with available information from their surroundings. The attributes considered for the comparative study are Peak signal to noise ratio, and Mean square error . Experimental results demonstrate that the Alternating projection method provides effective performance compared to other methods.
Keywords
Alternating Projections, Missing Blocks and image coding.
Reference
[1] ISO/IEC 13 818-2, Generic Coding of Moving Pictures and Associated Audio Information-Part 2: Video, ISO/IEC 13 818-2 MPEG-2 Video Coding Standard, 1995.
[2] Y. Wang, Q. F. Zhu, and L. Shaw, “Maximally smooth image recovery in transform coding,” IEEE Trans. Commun., vol. 41, no. 10, pp. 1544–1551, Oct. 1993.
[3] J.W. Park, J. W. Kim, and S. U. Lee, “DCT coefficients recovery-based error concealment technique and its application to the MPEG-2 bit stream error,” IEEE Trans. Circuits Syst. Video Technol., vol. 7, no. 8, pp. 845–854, Dec. 1997.
[4] X. Lee, Y.-Q. Zhang, and A. Leon-Garcia, “Information loss recovery for block-based image coding techniques-a fuzzy logic approach,” IEEE Trans. Image Process., vol. 4, no. 3, pp. 259–273, Mar. 1995.
[5] S.S.Hemami and T.H.-Y.Meng, “Transform coded image reconstruction exploiting interblock correlation,” IEEE Trans. Image Process., vol. 4, no. 7, pp. 1023–1027, Jul. 1995.
[6] Z. Alkachouh and M. G. Bellanger, “Fast DCT-based spatial domain interpolation of blocks in images,” IEEE Trans. Image Process., vol. 9, no. 4, pp. 729–732, Apr. 2000.