Abstract
In wireless communication, the data need to be efficiently compressed by utilizing the channel bandwidth and thus to increase the data bit rate. We can enhance the compression performance by not sending the significant portion of the image. This can be done by intelligently choosing the blocks from the image with non-relevant information in it. By removing these blocks, size of the image is reduced and the amount of bits needed to transmit the image can be significantly reduced. The removed block’s information can be recovered by using the correlation between the blocks and its neighbors. This is done automatically and in a fast way with the boundary information of the lost blocks, thereby allowing to simultaneously fill-in numerous regions containing completely different structures and surrounding backgrounds. This paper addresses the issue of performing inpainting on the decompressed image to fill-in the missing information. The effectiveness of this approach is demonstrated with various compression factors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bertalmio M, Sapiro G, Caselles V, Ballester C (2000) Image inpainting. In: Proceedings of SIGGRAPH 2000, July 2000, pp 417–424
Criminisi A, Pérez P, Toyama K (2003) Object removal by exemplar based Inpainting. In: Proceedings conference computer vision and pattern recognition, Madison, WI, June 2003
Chan TF, Shen J, Vese L (2002) Variational PDE Models in Image Processing. UCLA Computational and Applied Mathematics Reports, pp 02–61, Dec 2002
Ballester C, Bertalmio M, Caselles V, Sapiro G, Verdera J (2001) Filling-in by joint interpolation of vector fields and gray levels. IEEE Trans Image Process 10:1200–1211
Rane SD, Sapiro G, Bertalmio M (2003) Structure and texture filling-in of missing image blocks in wireless transmission and compression applications. IEEE Trans Image Process 12(3):296–303
Bertalmio M, Vese L, Sapiro G, Osher S (2003) Simultaneous structure and texture image inpainting. IEEE Trans Image Process 12:882–889
Caia JF, Ji H, Shang F, Shenb Z (2010) Inpainting for Compressed Images. 11 Jan 2010 submitted to Elsevier
Xiong Z, Sun X, Wu F (2010) Block-based image compression with parameter-assistant inpainting. IEEE Trans Image Process 19(6), June 2010
Wallace GK (1991) The JPEG still picture compression standard. Commun ACM 34(4):30–44
Adolfson S (2004) Algorithms regarding automatic retouching of user selected regions in digital images. Master’s Degree Project, Royal Institute of Technology, Stockholm
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer India
About this paper
Cite this paper
Yatnalli, V., Sudha, K.L. (2014). Reduced Bit Rate Using Image Inpainting. In: Sridhar, V., Sheshadri, H., Padma, M. (eds) Emerging Research in Electronics, Computer Science and Technology. Lecture Notes in Electrical Engineering, vol 248. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1157-0_54
Download citation
DOI: https://doi.org/10.1007/978-81-322-1157-0_54
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1156-3
Online ISBN: 978-81-322-1157-0
eBook Packages: EngineeringEngineering (R0)